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20-09-2009, 04:07 PM
Post: #1

1. Abstract

This paper describes cloud computing, a computing platform for the next generation of the Internet. The paper defines clouds, explains the business benefits of cloud computing, and outlines cloud architecture and its major components. Readers will discover how a business can use cloud computing to foster innovation and reduce IT costs. IntroductionEnterprises strive to reduce computing costs. Many start by consolidating their IT operations and later introducing virtualization technologies. Cloud computing takes these steps to a new leveland allows an organization to further reduce costs through improved utilization, reduced administration and infrastructure costs, and faster deployment cycles. The cloud is a next generation platform that provides dynamic resource pools, virtualization, and high availability.

Cloud computing describes both a platform and a type of application. A cloud computing platform dynamically provisions, configures, reconfigures, and deprovisions servers as needed. Cloud applications are applications that are extended to be accessible through the Internet. These cloud applications use large data centers and powerful servers that host Web applications andWeb services.


Cloud computing infrastructure accelerates and fosters the adoption of innovations Enterprises are increasingly making innovation their highest priority. They realize they need to seek new ideas and unlock new sources of value. Driven by the pressure to cut costs and grow”simultaneously”they realize that it™s not possible to succeed simply by doing the same thingsbetter. They know they have to do new things that produce better results. Cloud computing enables innovation. It alleviates the need of innovators to find resources to develop, test, and make their innovations available to the user community. Innovators are free to focus on the innovation rather than the logistics of finding and managing resources that enable the innovation. Cloud computing helps leverage innovation as early as possible to deliver businessvalue to IBM and its customers. Fostering innovation requires unprecedented flexibility and responsiveness. The enterprise should provide an ecosystem where innovators are not hindered by excessive processes, rules, and resource constraints. In this context, a cloud computing service is a necessity. It comprises an automated framework that can deliver standardized services quickly and cheaply. Cloud computing is a term used to describe both a platform and type of application. A cloud computing platform dynamically provisions, configures, reconfigures, and deprovisions servers as needed. Servers in the cloud can be physical machines or virtual machines. Advanced clouds typically include other computing resources such as storage area networks (SANs),network equipment, firewall and other security devices. Cloud computing also describes pplications that are extended to be accessible through the Internet. These cloud applications use large data centers and powerful servers that host Webapplications and Web services. Anyone with a suitable nternet connection and a standardbrowser can access a cloud application.


A cloud is a pool of virtualized computer resources. A cloud can:

. Host a variety of different workloads, including batch-style back-end jobs and interactive,user-facing applications

. Allow workloads to be deployed and scaledout quickly through the rapid provisioning of virtual machines or physical machines

. Support redundant, self-recovering, highly scalable programming models that allow workloads to recover from many unavoidable hardware/software failures

. Monitor resource use in real time to enable rebalancing of allocations when needed Cloud computing environments support grid computing by quickly providing physical and virtualservers on which the grid applications can run

. Cloud computing should not be confused with grid computing

. Grid computing involves dividing a large task into many smaller tasks that runin parallel on separate servers

. Grids require many computers, typically in the thousands, andcommonly use servers, desktops, and laptops. Clouds also support nongrid environments, such as a three-tier Web architecture running standardor Web 2.0 applications. A cloud is more than a collection of computer resources because acloud provides a mechanism to manage those resources. Management includes provisioning, change requests, reimaging, workload rebalancing, deprovisioning, and monitoring.

¢ Benefits

Cloud computing infrastructures can allow enterprises to achieve more efficient use of their IThardware and software investments. They do this by breaking down the physical barriers inherentin isolated systems, and automating the management of the group of systems as a single entity. Cloud computing is an example of an ultimately virtualized system, and a natural evolution for data centers that employ automated systems management, workload balancing, and virtualizationtechnologies. A cloud infrastructure can be a cost efficient model for delivering information services, reducingIT management complexity, promoting innovation, and increasing responsiveness through realtime workload balancing. The Cloud makes it possible to launch Web 2.0 applications quickly and to scale up applicationsas much as needed when needed.

The platform supports traditional Java„¢ and Linux, Apache, MySQL, PHP (LAMP) stack-based applications as well as new architectures such as MapReduceand the Google File System, which provide a means to scale applications across thousands ofservers instantly architecture

4. Enabling


4.1. Cloud Computing Application Architecture

This gives the basic architecture of a cloud computing application. We know that cloud computing is the shift of computing to a host of hardware infrastructure thatis distributed in the cloud. The commodity hardware infrastructure consists of thevarious low cost data servers that are connected to the system and provide theirstorage and processing and other computing resources to the application. Cloudcomputing involves running applications on virtual servers that are allocated on thisdistributed hardware infrastructure available in the cloud. These virtual servers are made in such a way that the different service level agreements and reliability issues are met. There may be multiple instances of the same virtual server accessing the different parts of the hardware infrastructure available. This is to make sure that there are multiple copies of the applications which are ready to take over on another oneâ„¢s failure.

The virtual server distributes the processing between the infrastructure and the computing is done and the result returned. There will be a workload distribution management system, also known as the grid engine, for managing the different requests coming to the virtual servers. This engine will take care of the creation of multiple copies and also the preservation of integrity of the data that is stored in the infrastructure. This will also adjust itself such that even on heavier load, the processing is completed as per the requirements.

The different workload management systems are hidden from the users. For the user, the processing is done and the result is obtained. There is no question of where it was done and how it was done. The users are billed based on the usage of the system - as said before - the commodity is now cycles and bytes. The billing is usually on the basis of usage per CPU per hour or GB data transfer per hour.

4.2. Server Architecture

Cloud computing makes use of a large physical resource pool in the cloud. As said above, cloud computing services and applications make use of virtual server instances built upon this resource pool. There are two applications which help inmanaging the server instances, the resources and also the management of the resources by these virtual server instances. One of these is the Xen hypervisor which provides an abstraction layer between the hardware and the virtual OS so that the distribution of the resources and the processing is well managed. Another application that is widely used is the Enomalism server management system which is used for management of the infrastructure platform. When Xen is used for virtualization of the servers over the infrastructure, a thin software layer known as the Xen hypervisor is inserted between the serverâ„¢s hardware and the operating system. This provides an abstraction layer that allows each physical server to run one or more virtual servers, effectively decoupling the operating system and its applications from the underlying physical server.

The Xen hypervisor is a unique open source technology, developed collaboratively by the Xen community and engineers at over 20 of the most innovative data center solution vendors, including MD, Cisco, Dell, HP, IBM, Intel, Mellanox, Network Appliance, Novell, Red Hat, SGI, Sun, Unisys, Veritas, Voltaire, and Citrix. Xen is licensed under the GNU General Public License (GPL2) and is available at no charge in both source and object format. The Xen hypervisor is also exceptionally lean“ less than 50,000 lines of code. That translates to extremely low overhead and near-native performance for guests. Xen re-uses existing device drivers (both closed and open source) from Linux, making device management easy. Moreover Xen is robust to device driver failure and protects both guests and the hypervisor from faulty or malicious drivers The Enomalism virtualized server management system is a complete virtual server infrastructure platform. Enomalism helps in an effective management of the resources. Enomalism can be used to tap into the cloud just as you would into a remote server. It brings together all the features such as deployment planning, load balancing, resource monitoring, etc. Enomalism is an open source application. It has avery simple and easy to use web based user interface. It has a module architecture which allows for the creation of additional system add-ons and plugins. It supports one click deployment of distributed or replicated applications on a global basis. It supports the management of various virtual environments including KVM/Qemu, Amazon EC2 and Xen, penVZ, Linux Containers, VirtualBox. It has fine grai ned user permissions and access privileges.

4.3. Map Reduce

Map Reduce is a software framework developed at Google in 2003 to support parallel computations over large (multiple petabyte) data sets on clusters of commodity computers. This framework is largely taken from Ëœmapâ„¢ and Ëœreduceâ„¢ functions commonly used in functional programming, although the actual semantics of the framework are not the same. It is a programming model and an associated implementation for processing and generating large data sets. Many of the real world tasks are expressible in this model. MapReduce implementations have been written in C++, Java and other anguages. Programs written in this functional style are automatically parallelized and executed on the cloud. The run-time system takes care of the details of partitioning the input data, scheduling the programâ„¢s execution across a set of machines, handling achine failures, and managing the required inter-machine communication. This allows programmers without any experience with parallel and distributed systems to easily utilize the resources of a largely distributed system. The computation takes a set of input key/value pairs, and produces a set of output key/value pairs. The user of the MapReduce library expresses the computation as two functions: Map and Reduce. Map, written by the user, takes an input pair and produces a set of intermediate key/value pairs. The MapReduce library groups together all intermediate values associated with the same intermediate key I and passes them to the Reduce

The Reduce function, also written by the user, accepts an intermediate key I and a set of values for that key. It merges together these values to form a possibly smaller set of values. Typically just zero or one output value is produced per Reduce invocation. The intermediate values are supplied to the userâ„¢s reduce function via an iterator. This allows us to handle lists of values that are too large to fit in memory.

MapReduce achieves reliability by parceling out a number of operations onthe set of data to each node in the network; each node is expected to report back periodically with completed work and status updates. If a node falls silent for longer than that interval, the master node records the node as dead, and sends out the nodeâ„¢s assigned work to other nodes. Individual operations use atomic operations for naming file outputs as a double check to ensure that there are not parallel conflicting threads running; when files are renamed, it is possible to also copy them to another name in addition to the name of the task (allowing for side-effects).

4.4. Google File System

Google File System (GFS) is a scalable distributed file system developed by Google for data intensive applications. It is designed to provide efficient, reliable access to data using large clusters of commodity hardware.It provides fault tolerance while running on inexpensive commodity hardware, and it delivers high aggregate performance to a large number of clients. Files are divided into chunks of 64 megabytes, which are only extremely rarely overwritten, or shrunk; files are usually appended to or read.

It is also designed and optimized to run on computing clusters, the nodes of which consist of cheap,commodity computers, which means precautions must be taken against the high failure rate of individual nodes and the subsequent data loss. Other design decisions select for high data throughputs, even when it comes at the cost of latency. The nodes are divided into two types:

one Master node and a large number of Chunkservers. Chunkservers store the data files, with each individual file broken up into fixed size chunks (hence the name) of about 64 megabytes, similar to clusters or sectors in regular file systems. Each chunk is assigned a unique 64-bit label, and logical mappings of files to constituent chunks are maintained. Each chunk is replicated several times throughout the network, with the minimum being three, but even more for files that have high demand or need more redundancy. The Master server doesnâ„¢t usually store the actual chunks, but rather all the metadata associated with the chunks, such as the tables mapping the 64-bit labels tochunk locations and the files they make up,the locations of the copies of the chunks,

what processes are reading or writing to a particular chunk, or taking a snapshot of the chunk pursuant to replicating it (usually at the instigation of the Master server, when, due to node failures, the number of copies of a chunk has fallen beneath the set number). All this metadata is kept current by the Master server periodically receiving updates from each chunk server (Heart-beat messages). Permissions for modifications are handled by a system of time-limited, expiring leases, where the Master server grants permission to a process for a finite period of time during which no other process will be granted permission by the Master server to modify the chunk. The modified chunkserver, which is always the primary chunk holder, then propagates the changes to the chunkservers with the backup copies. Thechanges are not saved until all chunkserversacknowledge, thus guaranteeing the

completion and atomicity of the operation. Programs access the chunks by firstquerying the Master server for the locationsof the desired chunks; if the chunks are not being operated on (if there are no outstanding leases), the Master replies with the locations, and he program then contacts and receives the data from thechunkserver directly. As opposed to manyfile systems, itâ„¢s not implemented in the kernel of an Operating System but accessedthrough a library to avoid overhead.

4.5. Hadoop

Hadoop is a framework for running applications on large cluster built ofcommodity hardware. The Hadoopframework transparently provides applications both reliability and data motion. Hadoopimplements the computation paradigm named MapReduce which was explained above. The application is divided into many small fragments of work, each of which may be executed or re-executed on any node in the cluster. In addition, it provides adistributed file system that stores data on the compute nodes, providing very high

aggregate bandwidth across the cluster. BothMapReduce and the distributed file system are designed so that the node failures are

automatically handled by the framework. Hadoop has been implemented making useof Java. In Hadoop, the combination of the

entire JAR files and classed needed to run a MapReduce program is called a job. All ofthese components are themselves

collected into a JAR which is usually referred to as the job file. To execute a job, itis submitted to a jobTracker and then executed.

Tasks in each phase are executed in a faulttolerant manner. If node(s) fail inthe middle of a computation the tasks assigned to them are re-distributed among theremaining nodes. Since we are using MapReduce, having many map and reduce tasksenables good load balancing and allows failed tasks to be re-run with smaller runtimeoverhead. The Hadoop MapReduce framework has master/slave architecture. It has a single master server or a jobTracker andseveral slave servers or taskTrackers, one per node in the cluster. The jobTracker is the point of interaction between the users andthe framework. Users submit jobs to the jobTracker, which puts them in a queue of pending jobs and executes them on a firstcomefirst-serve basis. The jobTrackermanages the assignment of MapReduce jobs to the taskTrackers. The taskTrackersexecute tasks upon instruction from the jobTracker and also handle data motion between the Ëœmapâ„¢ and Ëœreduceâ„¢ phases ofthe MapReduce job. Hadoop is a framework which has received awide industry adoption. Hadoop is used along with other cloud computing technologies like the Amazon services so as to make better use of the resources. There are many instances where Hadoop has beenused. Amazon makes use of Hadoop for processing millions of sessions which it uses for analytics. This is made use of in a cluster which has about 1 to 100 nodes. Facebook uses Hadoop to store copies of internal logs and dimension data sources a use it as a source for reporting/analytics and machine learning. The New York Times made use of Hadoop for large scale image conversions. Yahoo uses Hadoop to support research for advertisement systems

and web searching tools. They also use it to do scaling tests to support development of Hadoop

5. Cloud Computing Services

Even though cloud computing is a pretty new technology, there are many companies offering cloud computing services. Different companies like Amazon, Google, Yahoo, IBM and Microsoft are all players in the cloud computing services industry. But Amazon is the pioneer in the cloud computing industry with serviceslike EC2 (Elastic Compute Cloud) and S3(Simple Storage Service) dominating the industry. Amazon has an expertise in this industry and has a small advantage over the others because of this. Microsoft has good knowledge of the fundamentals of cloudscience and is building massive data centers. IBM, the king of business computing and traditional supercomputers, teams up with Google to get a foothold in the clouds. Google is far and away the leader in cloud computing with the company itself built from the ground up on hardware.

5.1. Amazon Web Services

The ËœAmazon Web Servicesâ„¢ is the set of cloud computing services offered byAmazon. It involves four different services.

They are Elastic Compute Cloud (EC2), Simple Storage Service (S3), Simple QueueService (SQS) and Simple Database

Service (SDB).

1. Elastic Compute Cloud (EC2)

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to make webscale computing easier for developers. It provides on-demand processing power. Amazon EC2â„¢s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with completecontrol of your computing resources and lets you run on Amazonâ„¢s proven computing environment. Amazon EC2 reduces the time required to obtain and

boot new server instances to minutes, allowing you to quickly scale capacity,both up and down, as your computing

requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity

that you actually use. Amazon EC2 p ovides developers the tools to build failure resilient applications and isolate themselves from common failure scenarios. Amazon EC2 presents a true virtual computing environment, allowing you to use web service interfaces to requisition machines for use, load them with your custom application environment, manage your networkâ„¢s access permissions, and run your image using as many or few systems as you desire. To set up an Amazon EC2 node we have tocreate an EC2 node

configuration which consists of all our applications, libraries, data and associated configuration settings. Thisconfiguration is then saved as an AMI (Amazon Machine Image). There are alsoseveral stock instances of Amazon AMIs available which can be customized and used. We can then start, terminate and monitor as many instances of the AMI as needed.Amazon EC2 enables you to increase or decrease capacity withinminutes. You can commission one, hundreds or even thousands of server instances simultaneously. Thus the applications can automatically scale itselfup and down depending on its needs. You have root access to each one, and you can interact with them as you would any machine. You have the choice of several instance types, allowing you to select a configuration of memory, PU, and instance storage that is optimal for your application. Amazon EC2 offers a highly reliable environment where replacement instances can be rapidly and reliably commissioned. Amazon EC2 provides web service

interfaces to configure firewall settings that control network access to and between groups of instances. You will be charged at the end of each month for your EC2 resources actually consumed. So charging will be based on the actual usage of the resources.

2. Simple Storage Service (S3)

S3 or Simple Storage Service offers cloud computing storage service. It offers services for storage of data in the cloud. It provides a high-availability large-store database. It provides a simple SQL-like language. It has been designed for interactive online use. S3 is

storage for the Internet. It is designed to make web-scale computing easier for developers. S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. It gives any developer access to the same highly scalable, reliable, fast, inexpensive data storage infrastructure that Amazon uses to run its own global network of web sites. Amazon S3 allows write, read and delete of objects containing from 1 byte to 5 gigabytes of data each. The number of objects that you can store is unlimited. Each object is stored in a bucket and retrieved via a unique developer-assigned key. A bucket can be located anywhere in Europe or the Americas but can be accessed from anywhere. Authentication mechanisms are provided to ensure that the data is kept secure from unauthorized access. Objects can be made private or public, and rights can be granted to specific users for particular objects. Also the S3 service also works with a pay only for what you use method of payment.

3. Simple Queue Service (SQS)

Amazon Simple Queue Service (SQS) offers a reliable, highly scalable, hosted queue for storing messages as they travel between computers. By using SQS, developers can simply move data between distributed components of their applications that perform different tasks, without losing messages or requiring each component to be always available

With SQS, developers can create an unlimited number of SQS queues, each of which can send and receive an unlimited number of messages Messages can be retained n a queue for up to 4 days. It is simple, reliable,secure and scalable.

4. Simple Database Service (SDB)

Amazon SimpleDB is a web service for running queries on structured data in real time. This service works in close conjunction with the Amazon S3 and EC2, collectively providing the ability to store, process and query data sets in the cloud. These services are designed to make web-scale computing easier and more cost-effective to developers. Traditionally, this type of functionality is accomplished with a clustered relational database, which requires a sizable upfront investment and often requires a DBA to maintain and administer them. Amazon SDB provides all these without the operational complexity. It requires no schema, automatically indexes your data and provides a simpleAPI for storage and access. Developers gain access to the different functionalities from within the Amazonâ„¢s proven computing environment andare able to scale instantly and need to pay only for what they use.

5.2. Google App Engine

Google App Engine lets you run your web applications on Googleâ„¢sinfrastructure. App Engine applications areeasy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow. You can serve your app using a free domain name on the domain, or use Google Apps to serve it from your own domain. You can share your application with the world, or limit access to members of your organization. App Engine costs nothing to get started. Sign up for a free account, and you can develop and publish your application at no charge and with no obligation. A free account can use up to 500MB of persistent storage and enough CPU and bandwidth for about 5 million page views a month. Google App Engine makes it easy to build an application that runs reliably, even under heavy load and with large amounts of data. The environment includes the following features

:¢ dynamic web serving, with full support for common web technologies

¢ persistent storage with queries, sorting and transactions

¢ automatic scaling and load balancing

¢ APIs for authenticating users and sending email using Google Accounts

¢ a fully featured local development environment that simulates Google AppEngine on your computer

Google App Engine applications are implemented using the Python programming language. The runtimeenvironment includes the full Python language and most of the Python standard library. Applications run in a secure environment that provides limited access to the underlying operating system. These limitations allow App Engine to distribute web requests for the application across multiple servers, and start and stop servers to meet traffic demands. App Engine includes a service API for integrating with Google Accounts.

Your application can allow a user to sign in with a Google account, and access the email address and displayable name associated with the account. Using Google Accounts lets the user start using your application faster, because the user may not

need to create a new account. It also saves you the effort of implementing a user account system just for your application

App Engine provides a variety of services that enable you to perform common operations when managing your application. The following APIs are provided to access these services: Applications can access resources on the Internet, such as web services or ther data, using App Engineâ„¢s URL fetch service. Applications can send email messages using App Engineâ„¢s mail service. The mail service uses Google infrastructure to send email messages. TheImage service lets your application manipulate images. With this API, you can resize, crop, rotate and flip images inJPEG and PNG formats.In theory, Google claims App Engine can scale nicely. But Google currently places a limit of 5 million hits per month on each application. This limit nullifies App Engineâ„¢s scalability, because any small, dedicated server can have this performance. Google will eventually allow webmasters to go beyond this limit (if they pay).

7. Conclusion

Cloud computing is a powerful new abstraction for large scale data processing systems which is scalable, reliable and

available. In cloud computing, there are large self-managed server pools available whichreduces the overhead and eliminates management headache. Cloud computing services can also grow and shrink according to need. Cloud computing is particularly

valuable to small and medium businesses, where effective and affordable IT tools are critical to helping them become more

productive without spending lots of money on in-house resources and technical equipment. Also it is a new emerging

architecture needed to expand the Internet to become the computing platform of the future.

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02-10-2010, 12:54 PM
Post: #2

.docx  cloud computing.docx (Size: 1.32 MB / Downloads: 784)


Cloud computing has gained a lot of hype in the current world of I.T. Cloud computing is said to be the next big thing in the computer world after the internet.
In general terms the Cloud computing is referred to as anything that uses internet and computing is done at some remote location and the result are displayed on the user screen and the user access the cloud using the familiar web browser. This definition is true to some extent however not completely.
Cloud computing is a broad, new technology and young as of now. The industry still struggles to define as to what to call as Cloud computing and what not to.

Like any new IT trend, cloud computing gets its fair share of hype, and with it comes a multitude of vendors that use the term in ways it was never intended for, making it devoid of any sense. When pushed to the extreme, a simple server connected to a network seems to qualify as a cloud, allowing pundits to mock the concept. Yet cloud computing is not a passing fad. It is a major step forward in the development of distributed computing, and one that will reshape the IT industry. But for it to happen, we must agree on a clear definition of the concept first, and the less technical it is, the better.

Here is how Wikipedia defines cloud computing:
“Cloud computing is the provision of dynamically scalable and often virtualized resources as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure in the “cloud” that supports them. Cloud computing services often provide common business applications online that are accessed from a web browser, while the software and data are stored on the servers.”

The definition we propose is borrowed from Neil Ward‐Dutton, who works for MWD Advisors, an advisory firm which focuses on issues surrounding IT‐business alignment. In a post released in June 2009, Neil outlined the seven elements of cloud computing value, reproduced here with the author’s permission and some minor editing, suggested in part by Gartner’s Daryl Plummer.

In a nutshell, cloud computing can be defined as a set of computing and storage resources providing an application platform as a service. This platform is characterized by a unique set of economic, architectural, and strategic elements of value, which distinguishes it from anything that has been available so far.

Dynamic computing infrastructure

Cloud computing requires a dynamic computing infrastructure. The foundation for the dynamic infrastructure is a standardized, scalable, and secure physical infrastructure. There should be levels of redundancy to ensure high levels of availability, but mostly it must be easy to extend as usage growth demands it, without requiring architecture rework. Next, it must be virtualized.
Today, virtualized environments leverage server virtualization (typically from VMware, Microsoft, or Xen) as the basis for running services. These services need to be easily provisioned and de-provisioned via software automation. These service workloads need to be moved from one physical server to another as capacity demands increase or decrease. Finally, this infrastructure should be highly utilized, whether provided by an external cloud provider or an internal IT department. The infrastructure must deliver business value over and above the investment.
A dynamic computing infrastructure is critical to effectively supporting the elastic nature of service provisioning and de-provisioning as requested by users while maintaining high levels of reliability and security. The consolidation provided by virtualization, coupled with provisioning automation, creates a high level of utilization and reuse, ultimately yielding a very effective use of capital equipment
IT service-centric approach

Cloud computing is IT (or business) service-centric. This is in stark contrast to more traditional system- or server- centric models. In most cases, users of the cloud generally want to run some business service or application for a specific, timely purpose; they don’t want to get bogged down in the system and network administration of the environment. They would prefer to quickly and easily access a dedicated instance of an application or service. By abstracting away the server-centric view of the infrastructure, system users can easily access powerful pre-defined computing environments designed specifically around their service.
An IT Service Centric approach enables user adoption and business agility – the easier and faster a user can perform an administrative task the more expedient the business moves, reducing costs or driving revenue.

12-10-2010, 03:00 PM
Post: #3

.pptx  cloud computing ppt.pptx (Size: 317.3 KB / Downloads: 593)
This article is presented by:
Pawan Parekh

What is cloud computing????

Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand…

The name cloud computing was inspired by the cloud symbol that's often used to represent
the Internet in flowcharts and diagrams.

Introduction Of cloud computing

For understanding cloud computing very deeply
Let's assume you're an executive at a large corporation..

Your particular responsibilities include making sure that all of your employees have the right hardware and software they need to do their jobs.

Buying computers for everyone isn't enough -- you also have to purchase software or software licenses to give employees the tools they require.

Whenever you have a new hire, you have to buy more software or make sure your current software license allows another user.

It's so stressful that you find it difficult to go
to sleep on your huge pile of money every night.

Soon, there may be an alternative for executives like you.

Instead of installing a suite of software for each computer, you'd only have to load one application.

That application would allow workers to log into a Web-based service which hosts all the programs the user would need for his or her job.

Remote machines owned by another company would run everything from e-mail to word processing to complex data analysis programs.

It's called cloud computing,.. and it could change the entire computer industry…

Real life example is:-if we go into restaurant ,,,we eat food and give money to them,,,,
Here restaurant acts as cloud computing company…
And food acts as software of company which are we using..
These are the companies which are hardly trying to get into business of Cloud computing…

AMAZON is very successful among them…..
29-11-2010, 10:09 AM
Post: #4

.docx  New Microsoft Office Word Document.docx (Size: 715.29 KB / Downloads: 337)

Cloud computing is Internet ("cloud") based on development and use of computer technology ("computing").It is a style of computing in which dynamically scalable and often virtualised resources are provided as a service over the internet.Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them.
The concept incorporates infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS) as well as Web 2.0 and other recent (ca. 2007-2009) technology trends which have the common theme of reliance on the Internet for satisfying the computing needs of the users. Examples of SaaS vendors include and Google Apps which provide common business applications online that are accessed from a web browser, while the software and data are stored on the servers.A cloud is a pool of virtualized computer resources. A cloud can:
1.Host a variety of different workloads,including batch-style back-end jobs and interactive,user- facing applications.
2.Allow workloads to be deployed and scaled-out quickly through the rapid provisioning of virtual machines or physical machines.
3.Support redundant, self-recovering,highly scalable programming models that allow workloads to recover from many unavoidable hardware/software failures.
4.Monitor resource use in real time to enable rebalancing of allocations when needed.

The underlying concept dates back to 1960 when John McCarthy opined that "computation may someday be organized as a public utility"; indeed it shares characteristics with service bureaus which date back to the 1960s.The term cloud had already come into commercial use in the early 1990s to refer to large ATM networks.By the turn of the 21st century,the term "cloud computing" had started to appear, although most of the focus at this time was on Software as a service (SaaS).
In 1999, was established by Marc Benioff, Parker Harris,and his fellows.They applied many technologies of consumer web sites like Google and Yahoo! to business applications.
IBM extended these concepts in 2001,as detailed in the Autonomic Computing Manifesto-which described advanced automation techniques such as self-monitoring, self-healing, self-configuring, and self-optimizing in the management of complex IT systems with heterogeneous storage, servers, applications, networks, security mechanisms, and other system elements that can be virtualized across an enterprise. played a key role in the development of cloud computing by modernizing their data centres after the dot-com bubble and, having found that the new cloud architecture resulted in significant internal efficiency improvements,providing access to their systems by way of Amazon Web Services in 2002 on a utility computing basis.
2007 saw increased activity,with Google,IBM and a number of universities embarking on a large scale cloud computing research project, around the time the term started gaining popularity in the mainstream press.


In cloud computing you only need to load one application.This application would allow workers to log into a Web-based service which hosts all the programs the user would need for his or her job. Remote machines owned by another company would run everything from e-mail to word processing to complex data analysis programs.It's called cloud computing, and it could change the entire computer industry.

In a cloud computing system, there's a significant workload shift.Local computers no longer have to do all the heavy lifting when it comes to running applications.The network of computers that make up the cloud handles them instead. Hardware and software demands on the user's side decrease.The only thing the user's computer needs to be able to run is the cloud computing system's interface software, which can be as simple as a Web browser, and the cloud's network takes care of the rest.

Cloud architecture,the systems architecture of the software systems involved in the delivery of cloud computing, comprises hardware and software designed by a cloud architect who typically works for a cloud integrator. It typically involves multiple cloud components communicating with each other over application programming interfaces, usually web services.
Cloud architecture extends to the client, where web browsers and/or software applications access cloud applications.
Cloud storage architecture is loosely coupled, where metadata operations are centralized enabling the data nodes to scale into the hundreds, each independently delivering data to applications or users.

A cloud application leverages the Cloud in software architecture,often eliminating the need to install and run the application on the customer's own computer,thus alleviating the burden of software maintenance, ongoing operation, and support.
A cloud client consists of computer hardware and/or computer software which relies on the cloud for application delivery, or which is specifically designed for delivery of cloud services and which, in either case, is essentially useless without it. For example:Mobile ,Thin client ,Thick client / Web browser .
Cloud infrastructure,such as Infrastructure as a service,is the delivery of computer infrastructure, typically a platform virtualization environment,as a service.For example:grid computing ,Management , Compute ,Platform.
A cloud platform,such as Paas, the delivery of a computing platform,and/or solution saas,facilitates deployment of applications without the cost and complexity of buying and managing the underlying hardware and software layers.
A cloud service includes "products, services and solutions that are delivered and consumed in real-time over the Internet".For example Web Services ("software system[s] designed to support interoperable machine-to-machine interaction over a network") which may be accessed by other cloud computing components, software, e.g., Software plus services, or end users directly.
Cloud storage involves the delivery of data storage as a service, including database-like services, often billed on a utility computing basis, e.g., per gigabyte per month. For example Database ,Network attached storage ,Web service .

Public cloud or external cloud describes cloud computing in the traditional mainstream sense, whereby resources are dynamically provisioned on a fine-grained, self-service basis over the Internet, via web applications/web services, from an off-site third-party provider who shares resources and bills on a fine-grained utility computing basis.
A hybrid cloud environment consisting of multiple internal and/or external providers "will be typical for most enterprises".
Private cloud and internal cloud are neologisms that some vendors have recently used to describe offerings that emulate cloud computing on private networks.These (typically virtualisation automation) products claim to "deliver some benefits of cloud computing without the pitfalls", capitalising on data security, corporate governance, and reliability concerns.They have been criticised on the basis that users "still have to buy, build, and manage them" and as such do not benefit from lower up-front capital costs and less hands-on management ,essentially "[lacking] the economic model that makes cloud computing such an intriguing concept".While an analyst predicted in 2008 that private cloud networks would be the future of corporate IT, there is some contention as to whether they are a reality even within the same firm.
A cloud computing provider or cloud computing service provider owns and operates live cloud computing systems to deliver service to third parties.Usually this requires significant resources and expertise in building and managing next-generation data centers.Some organisations realise a subset of the benefits of cloud computing by becoming "internal" cloud providers and servicing themselves, although they do not benefit from the same economies of scale and still have to engineer for peak loads. The barrier to entry is also significantly higher with capital expenditure required and billing and management creates some overhead.Nonetheless, significant operational efficiency and agility advantages can be realised, even by small organisations, and server consolidation and virtualization rollouts are already well was the first such provider,modernising its data centers which,like most computer networks, were using as little as 10% of its capacity at any one time just to leave room for occasional spikes.This allowed small, fast-moving groups to add new features faster and easier, and they went on to open it up to outsiders as Amazon Web Services in 2002 on a utility computing basis.
Players in the cloud computing service provision game include the likes of Amazon, Google, Hewlett Packard, IBM, Intel, Microsoft, Salesforce, SAP and Yahoo!
A user is a consumer of cloud computing.The privacy of users in cloud computing has become of increasing concern.The rights of users are also an issue, which is being addressed via a community effort to create a bill of rights.
A vendor sells products and services that facilitate the delivery, adoption and use of cloud computing.For example:Computer hardware,Storage,infrastructure,Computer software,Operating systems ,Platform virtualization.
24-02-2011, 03:13 PM
Post: #5

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Cloud computing
Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand, like theelectricity grid.
Cloud computing is a paradigm shift following the shift from mainframe to client–serverin the early 1980s. Details are abstracted from the users, who no longer have need for expertise in, or control over, the technology infrastructure "in the cloud" that supports them.[1] Cloud computing describes a new supplement, consumption, and delivery model for IT services based on the Internet, and it typically involves over-the-Internetprovision of dynamically scalable and often virtualized resources.[2][3] It is a byproduct and consequence of the ease-of-access to remote computing sites provided by the Internet.[4] This frequently takes the form of web-based tools or applications that users can access and use through a web browser as if it were a program installed locally on their own computer.[5]. NIST provides a somewhat more objective and specific definition here. The term "cloud" is used as a metaphor for the Internet, based on the cloud drawing used in the past to represent the telephone network,[6] and later to depict the Internet in computer network diagrams as anabstraction of the underlying infrastructure it represents.[7] Typical cloud computing providers deliver common business applications online that are accessed from another Web service or software like a Web browser, while the software and data are stored on servers. A key element of cloud computing is customization and the creation of a user-defined experience.
Most cloud computing infrastructures consist of services delivered through common centers and built on servers. Clouds often appear as single points of access for all consumers' computing needs. Commercial offerings are generally expected to meet quality of service (QoS) requirements of customers, and typically include SLAs.[8] The major cloud service providers

Cloud computing derives characteristics from, but should not be confused with:
1. Autonomic computing — "computer systems capable of self-management".[12]
2. Client–server model – Client–server computing refers broadly to any distributed application that distinguishes between service providers (servers) and service requesters (clients).[13]
3. Grid computing — "a form of distributed computing and parallel computing, whereby a 'super and virtual computer' is composed of acluster of networked, loosely coupled computers acting in concert to perform very large tasks"
4. Mainframe computer — powerful computers used mainly by large organizations for critical applications, typically bulk data processing such as census, industry and consumer statistics, enterprise resource planning, and financial transaction processing.[14]
5. Utility computing — the "packaging of computing resources, such as computation and storage, as a metered service similar to a traditional public utility, such as electricity";[15]
6. Peer-to-peer – a distributed architecture without the need for central coordination, with participants being at the same time both suppliers and consumers of resources (in contrast to the traditional client–server model).
In general, cloud computing customers do not own the physical infrastructure, instead avoiding capital expenditure by renting usage from a third-party provider. They consume resources as a service and pay only for resources that they use. Many cloud-computing offerings employ the utility computing model, which is analogous to how traditional utility services (such as electricity) are consumed, whereas others bill on asubscription basis. Sharing "perishable and intangible" computing power among multiple tenants can improve utilization rates, as servers are not unnecessarily left idle (which can reduce costs significantly while increasing the speed of application development). A side-effect of this approach is that overall computer usage rises dramatically, as customers do not have to engineer for peak load limits.[16] In addition, "increased high-speed bandwidth" makes it possible to receive the same response times from centralized infrastructure at other sites.[citation needed]
Cloud engineering is a field of engineering that generally deals with the lifecycle of cloud computing solutions, including analysis, design, development, testing, integration, buildout, delivery, operation and consumption of cloud products and services.
Cloud computing users avoid capital expenditure (CapEx) on hardware, software, and services when they pay a provider only for what they use. Consumption is usually billed on a utility (resources consumed, like electricity) or subscription (time-based, like a newspaper) basis with little or no upfront cost. Other benefits of this time sharing-style approach are low barriers to entry, shared infrastructure and costs, low management overhead, and immediate access to a broad range of applications. In general, users can terminate the contract at any time (thereby avoiding return on investment risk and uncertainty), and the services are often covered by service level agreements (SLAs) with financial penalties.[17][18]
According to Nicholas Carr, the strategic importance of information technology is diminishing as it becomes standardized and less expensive. He argues that the cloud computing paradigm shift is similar to the displacement of electricity generators by electricity grids early in the 20th century.[19]
Although companies might be able to save on upfront capital expenditures, they might not save much and might actually pay more for operating expenses. In situations where the capital expense would be relatively small, or where the organization has more flexibility in their capital budget than their operating budget, the cloud model might not make great fiscal sense. Other factors impacting the scale of any potential cost savings include the efficiency of a company's data center as compared to the cloud vendor's, the company's existing operating costs, the level of adoption of cloud computing, and the type of functionality being hosted in the cloud.[20][21]
Among the items that some cloud hosts charge for are instances (often with extra charges for high-memory or high-CPU instances); data transfer in and out; storage (measured by the GB-month); I/O requests; PUT requests and GET requests; IP addresses; and load balancing. In some cases, users can bid on instances, with pricing dependent on demand for available instances.[citation needed]
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