GRID Network
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22-12-2010, 03:32 PM

.pptx   GRID Network .pptx (Size: 116.37 KB / Downloads: 73)

What is Grid?
The Grid is super fast internet service.
10,000 faster than broadband services.
High-speed computing network project and implimentation started 7 years ago

What is Grid?
Experiments everywhere, producing billions of bytes of data every day.
It’s not possible for one single institution to store and analyze all this data, so scientists have to share computer storage and processing power around the world at hundreds of different locations. This is called Grid computing

What is Grid ?
The World Wide Web gave us a taste, but the Grid gives a vision of an ICT (Information and Communication Technology)enabled world.
The Grid evolved from the early desire to connect supercomputers into "metacomputers" that could be remotely controlled.
The word "grid" was borrowed from the electricity grid, to imply that any compatible device could be plugged in anywhere on the Grid and be guaranteed a certain level of resources

The Grid would be the next big thing in the Internet. In fact, it’d be a new technology or a mass of computer networks that would increase the Internet speed dramatically, which allows the download of entire feature films within a few seconds. Yes , a few seconds!
Benefits of grid network:
Better utilization of resources
Increased user productivity

Why the grid is much better than the existing Internet network?
The existing Internet network has evolved till the stage having many cables and routing equipments linked together, and most of these cables and equipments are originally designed for telephony networks and therefore they all lack of the capacity for high speed data transmissions.

Why Grid is different from existing internet?
The Grid is completely different from the existing Internet, which has been built with dedicated fibre optic cables and modern routing centres, and there is no single outdated component that would cause slow data transmission.

What happen when grid is available?
Once the grid has become available for commercial use, reaching the domestic or business users, desktop computing will become obsolete. As everybody will just rely on online applications, as the Internet speed will be so extremely fast then you can just store all your data and work with the online applications and you will be able to access your applications, data everywhere once you are hooked up to the Internet.

Many online activities will become possible such as:
Holographic video conference.

Online gaming

Social networking could become the main way we communicate.
Best uses for Grid
The Internet could soon be made obsolete. The scientists who pioneered it have now built a lightning-fast replacement capable of downloading entire feature films within seconds.
At speeds about 10,000 times faster than a typical broadband connection, “the grid” will be able to send the entire Rolling Stones back catalogue from Britain to Japan in less than two seconds.

Projects like the grid will bring huge changes in business and society as well as science.

“Holographic video conferencing is not that far away. Online gaming could evolve to include many thousands of people, and social networking could become the main way we communicate.

“The history of the internet shows you cannot predict its real impacts but we know they will be huge.”
seminar surveyer
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22-12-2010, 03:40 PM

.doc   GRID Network .doc (Size: 287.5 KB / Downloads: 70)


The last decade has seen a substantial increase in commodity computer and network performance, mainly as a result of faster hardware and more sophisticated software. Nevertheless, there are still problems, in the fields of science, engineering, and business, which cannot be effectively dealt with using the current generation of supercomputers. In fact, due to their size and complexity, these problems are often very numerically and/or data intensive and consequently require a variety of heterogeneous resources that are not available on a single machine. A number of teams have conducted experimental studies on the cooperative use of geographically distributed resources unified to act as a single powerful computer. This new approach is known by several names, such as metacomputing, scalable computing, global computing, Internet computing, and more recently Grid computing.

The early efforts in Grid computing started as a project and implimentation to link supercomputing sites, but have now grown far beyond their original intent. In fact, many applications can benefit from the Grid infrastructure, including collaborative engineering, data exploration, high-throughput computing, and of course distributed supercomputing. Moreover, due to the rapid growth of the Internet and Web, there has been a rising interest in Web-based distributed computing, and many project and implimentations have been started and aim to exploit the Web as an infrastructure for running coarse-grained distributed and parallel applications. In this context, the Web has the capability to be a platform for parallel and collaborative work as well as a key technology to create a pervasive and ubiquitous Grid-based infrastructure.

This paper aims to present the state-of-the-art of Grid computing and attempts to survey the major international efforts in developing this emerging technology

The popularity of the Internet as well as the availability of powerful computers and high-speed network technologies as low-cost commodity components is changing the way we use computers today. These technology opportunities have led to the possibility of using distributed computers as a single, unified computing resource, leading to what is popularly known as Grid computing. The term Grid is chosen as an analogy to a power Grid that provides consistent, pervasive, dependable, transparent access to electricity irrespective of its source. A detailed analysis of this analogy can be found in. This new approach to network computing is known by several names, such as metacomputing, scalable computing, global computing, Internet computing, and more recently peer-to- peer (P2P) computing.

Grids enable the sharing, selection, and aggregation of a wide variety of resources including supercomputers, storage systems, data sources, and specialized devices (see Figure 1)that are geographically distributed and owned by different organizations for solving large-scale computational and data intensive problems in science, engineering, and commerce. Thus creating virtual organizations and enterprises as a temporary alliance of enterprises or organizations that come together to share resources and skills, core competencies, or resources in order to better respond to business opportunities or large-scale application processing requirements, and whose cooperation is supported by computer networks.

The concept of Grid computing started as a project and implimentation to link geographically dispersed supercomputers, but now it has grown far beyond its original intent. The Grid infrastructure can benefit many applications, including collaborative engineering, data exploration, high-throughput computing, and distributed supercomputing.

A Grid can be viewed as a seamless, integrated computational and collaborative environment (see Figure 1). The users interact with the Grid resource broker to solve problems, which in turn performs resource discovery, scheduling, and the processing of application jobs on the distributed Grid resources. From the end-user point of view, Grids can be used to provide the following types of services.

•Computational services. These are concerned with providing secure services for executing application jobs on distributed computational resources individually or collectively. Resources brokers provide the services for collective use of distributed resources. A Grid providing computational services is often called a computational Grid. Some examples of computational Grids are: NASA IPG, the World Wide Grid, and the NSF TeraGrid .

•Data services. These are concerned with proving secure access to distributed datasets and their management. To provide a scalable storage and access to the data sets, they may be replicated, catalogued, and even different datasets stored in different locations to create an illusion of mass storage. The processing of datasets is carried out using computational Grid services and such a combination is commonly called data Grids. Sample applications that need such services for management, sharing, and processing of large datasets are high-energy physics and accessing distributed chemical databases for drug design.

•Application services. These are concerned with application management and providing access to remote software and libraries transparently. The emerging technologies such as Web services are expected to play a leading role in defining application services. They build on computational and data services provided by the Grid. An example system that can be used to develop such services is NetSolve.

•Information services. These are concerned with the extraction and presentation of data with meaning by using the services of computational, data, and/or application services. The low-level details handled by this are the way that information is represented, stored, accessed, shared, and maintained. Given its key role in many scientific endeavors, the Web is the obvious point of departure for this level.

•Knowledge services. These are concerned with the way that knowledge is acquired, used, retrieved, published, and maintained to assist users in achieving their particular goals and objectives. Knowledge is understood as information applied to achieve a goal, solve a problem, or execute a decision. An example of this is data mining for automatically building a new knowledge.

To build a Grid, the development and deployment of a number of services is required. These include security, information, directory, resource allocation, and payment mechanisms in an open environment and high-level services for application development, execution management, resource aggregation, and scheduling.

Grid applications (typically multidisciplinary and large-scale processing applications) often couple resources that cannot be replicated at a single site, or which may be globally located for other practical reasons. These are some of the driving forces behind the foundation of global Grids. In this light, the Grid allows users to solve larger or new problems by pooling together resources that could not be easily coupled before. Hence, the Grid is not only a computing infrastructure, for large applications, it is a technology that can bond and unify remote and diverse distributed resources ranging from meteorological sensors to data vaults and from parallel supercomputers to personal digital organizers. As such, it will provide pervasive services to all users that need them.

This paper aims to present the state-of-the-art of Grid computing and attempts to survey the major international efforts in this area.

Benefits of Grid Computing

Grid computing can provide many benefits not available with traditional computing models:

• Better utilization of resources — Grid computing uses distributed resources more efficiently and delivers more usable computing power. This can decrease time-to-market, allow for innovation, or enable additional testing and simulation for improved product quality. By employing existing resources, grid computing helps protect IT investments, containing costs while providing more capacity.

• Increased user productivity — by providing transparent access to resources, work can be completed more quickly. Users gain additional productivity as they can focus on design and development rather than wasting valuable time hunting for resources and manually scheduling and managing large numbers of jobs.

• Scalability — Grids can grow seamlessly over time, allowing many thousands of processors to be integrated into one cluster. Components can be updated independently and additional resources can be added as needed, reducing large one-time expenses.

• Flexibility — Grid computing provides computing power where it is needed most, helping to better meet dynamically changing work loads. Grids can contain heterogeneous compute nodes, allowing resources to be added and removed as needs dictate.


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