Our main aim of this research on grid technology is about to find the ,why grid technology is very famous nowadays, and most of the international world intelligence authorities like NASA,U.S department of defence, manufacturing companies, and most research institutions/ universities, gaming and some financial companies are using. and finally why they are using this technology now, Is there any problems are not rectified before, or lack of skilled workers on this software? For all these, we are going to discuss as follows.
Introduction
Grid computing is applying the resources of many computers in a network to a single problem and at the same time using the huge amount of data to overcome the problem, just like the one to many (single problem to many minds) The last decade has seen a substantial increase in commodity computing and network performance, mainly as a result of faster hardware and more sophisticated software. These technologies have been used to develop low cost high performance computing systems. Recently research bodies launched a ambitious program that facilitate creation of such collaborations to tackle large scale scientific problems.
Grid computing should overcome these three reasons: (1) its ability to make more cost-effective use of a given amount of computer resources, (2) as a way to solve problems that can't be approached without an enormous amount of computing power, and (3) because it suggests that the resources of many computers can be cooperatively and perhaps synergistically harnessed and managed as a collaboration toward a common objective. There are commonly three recognized forms of grids are computing grid, data grid, collaboration grid. Some of the industries that are interested in grid computing include are
life sciences, computer manufacturing, industrial manufacturing, financial services, and government.
Personal recommendations
The problem with grid computing has traditionally been tying it down into a real-world context. Everyone is donating a small amount of their pc power to help in search for the more important research thing doing, but it is not utilizing it proper way fully. So, please try to extend this services to the non- IT friends about the operation rates of your PC room. When we consider grid computing in this context, the term often used is "Enterprise Grid", as opposed to "Scientific Grid", "Utility Computing" or that very optimistic term "The Global Grid", which is based on the idea that one day, all computers will be connected up and will work together in concord to solve the entire world's computing problems for free. By doing this we can take some responsible about the services and more quick to respond service to users as well as taking pain, overhead and cost out of IT operations. Taking a really simple example, If we are trying to solve a problem with a small reference, one applicant can resolve the other problems as well and the simply developing the resources of the present situation, just like the coping with each other and put hands together. We are offerings of one another in this space and looking at these technologies in the context of a real world project or bid is probably not bad thing to do. We can always defer taking on if we don't like what they come up with but at least our future generation can received some free education on a rapidly developing part of the market.
Background review
The Grid is the computing and data management infrastructure that will provide the electronic underpinning for a global society in business, government, research, science and entertainment. Integrate networking, communication, computation and information to provide a virtual platform for computation and data management in the same way that the Internet integrates resources to form a virtual platform for information. The UK program includes a wide variety of projects including health and medicine, genomics and bioscience, particle physics and astronomy, environmental science, engineering design, chemistry and material science and social sciences. Most e-Science projects involve both academic and industry participation
The Grid is transforming science, business, health and society. In this book we consider the Grid in depth, describing its immense promise, potential and complexity from the perspective of the community of individuals working hard to make the Grid vision a reality. Large-scale Grids are intrinsically distributed, heterogeneous and dynamic.
It is an instructive to start by understanding the influences that came together to development of the grid. In 1980's a decade of intense research, deployment of hardware, software applications for parallel computers. And in mid 1980-90, software for parallel computers focused on providing mechanisms for managing communications between processors for parallel mechanism, PVM(parallel virtual machine),MPI(message passing interface),HPF(high performance fortan, and an open MP were developed to support communications for scalable applications. In the last decade, we seen a rapid growth of large scale grid infrastructure deployment projects included NASA's information power grid(IPG),DOE's science grid, NSF's TERA grid and the UK e-science grid and similarly large-scale grid projects are being developed in ASIA. Perhaps the most striking current example of high-performance grid is the new NSF TERA grid. And one of the fastest growing applications areas in grid computing is the life sciences, and other areas of grid technology as a way to access, collect and mine data. The main advantages of the grid computing is used for load balancing as well as high availability by employing multiple computers-typically personal computers and workstations-that are remote from one another, multiple data storage devices, and redundant network connections., can solve more complex problems in short time, easier to communicate with other organization, and for better use of existing hardware and some of the disadvantages of the grid software & standard are still evolving, learning curve to get started, non-interactive job submission. Simplicity and powerful process management of Condor were greatly appreciated in setting up a grid and however, Globus actually eases the next step of our research in connecting to foreign grids. In addition, we have tested the network usage and execution times of heuristic algorithms and tools like MPI on Globus with very satisfactory results
Conclusion
First of all, the technologies aren't in place to allow the real large economies of scale to be broken. Secondly, the technologies for managing systems with components that are geographically distributed haven't been put into place. The grid computing community is addressing both of those issues right now. As we discuss earlier about the various technologies, applications and the advantages. And the main thing to contemplate on the maximal managing of the grid technology. More refined commercial technology arrived last year, and by next year we'll see more significant deployment. And now days it is getting more poplar for the online video gaming, and are trying to integrate them with a web services construction. And the main goals of the grid computing are to utilize the resources like city water and electricity systems .and to transfer the CPU power as an electricity power. The world computing grid is to create a large public computing grid benefit human race.
