7- grid computing.pdf

International Journal of Research Publications in Engineering and Technology [IJRPET], 2017

The last some years there has been a rapid rampant increase in computer processing power, communication, and data storage. Grid is an infrastructure that contains the integrated and collective use of computers, databases, networks and experimental instruments managed and owned by various organizations. Grid computing is a kind of distributed computing whereby a "super and virtual computer" is built of a cluster of networked, loosely coupled computers, working in concert to perform large tasks. Here paper presents an introduction of Grid computing providing wisdom into the gird components, terms, architecture, Grid Types, Applications of grid computing.

2006

Grid computers are integrated environments in which software and hardware resources are pooled in ways that give any user the impression of working with a single fast computer. This paper examines the current advances in grid computers from the point of view of their structures, global attention and support. We particularly relate these matters with a section of the East African region and highlight the research opportunities that arise out of the research challenges.

International Journal on Recent and Innovation Trends in Computing and Communication, 2017

— the last some years there has been a rapid rampant increase in computer processing power, communication, and data storage. Grid is an infrastructure that contains the integrated and collective use of computers, databases, networks and experimental instruments managed and owned by various organizations. Grid computing is a kind of distributed computing whereby a "super and virtual computer" is built of a cluster of networked, loosely coupled computers, working in concert to perform large tasks. Here paper presents an introduction of Grid computing providing wisdom into the gird components, terms, architecture, Grid Types, Applications of grid computing.

International Journal of Software & Hardware Research in Engineering, 2014

Modern computer industry is operating with very large amounts of data which utilizes more processing power and high storage volumes of data. Grid computing is proposed as effective resource management to the organization, since it involves using resources from different spaces, from different ownerships and with different individual performance. It requires a highly complex resource management procedure for effective result. This paper presents an overview of grid computing, basic grid technologies, challenges, emerging trends, Grid Security issues, future prospects and the potential for Computational Grid system.

Concurrency and Computation: Practice and Experience, 2010

In the recent decades we have witnessed a major revolution in the computer field. The major challenges posed by applications in fields of bioinformatics, earth sciences or weather forecasting, among others, have caused the proliferation of complex solutions, such as grid, cloud and highperformance computing. The common objective of all these disciplines is the sharing of hardware and software resources to provide an infrastructure in which to run efficiently these applications. Particularly, grid computing has been one of the most important computing topics in the last years. Within this context, the GADA workshop arose in 2004 as a forum for researchers in grid computing and its application to data analysis. From then until 2008, GADA became a reference conference for researchers in grid, covering also a broader set of disciplines, although grid computing continued to play a key role in the set of main topics of the conference.

In the last few years there has been a rapid exponential increase in computer processing power, data storage and communication. But still there are many complex and computation intensive problems, which cannot be solved by supercomputers. These problems can only be met with a vast variety of heterogeneous resources. The increased use and popularity of the Internet and the availability of high-speed networks have gradually changed the way we do computing. These technologies have enabled the cooperative use of a wide variety of geographically distributed resources as a single more powerful computer. This new method of pooling resources for solving large-scale problems is called as grid computing. Grid computing is a form of distributed computing in which an organization (business, university, etc.) uses its existing computers (desktop and/or cluster nodes) to handle its own long-running computational tasks. Grid computing combines computers from multiple administrative domains to reach a common goal, to solve a single task, and may then disappear just as quickly. Grid computing is managed by Global Grid Forum (GGF). Grid includes various protocols, topologies, standards and layers for implementing grid related applications. This paper describes the concepts underlying grid computing.

2004

The termGrid Computing'is relatively new and means a lot of di erent things to a lot of dif-ferent people [19]. It has been used as a buzzword for any new technology to do with computing, especially computer networking, and therefore it has been over-hyped as the solution to just about every computing problem. One of the goals of this paper is to give a clear de nition of what Grid Computing is and why it is required.

In this paper, we studied about the grid computing, benefits and applications of grid computing. Grid computing is still a developing field. Grid computing is used to solve complex problem in a simple manner by sharing resources with each other.

Grid computing is a computer network, which every machine's assets are shared with every other machine. The goal is to produce the trickery of a simple (through huge and commanding) self-handling virtual system out of a huge group of linked heterogeneous systems, which sharing numerous groupings resources. Regularization of communications among heterogeneous systems generated and Internet explosion. Developing regularization used for sharing resources, alongside with convenience of upper bandwidth are pouring feasibly alike huge evolutionary phase. Previous limited existences here has stayed a quick exponential rise in system processing power, data storing and communication. However quiet here are numerous difficult and calculation rigorous complications, those can't be unraveled by mainframes. The difficulties can individual encountered through huge variation of unrelated resources. Attractiveness of the Internet, accessibility of high-speed networks take progressively transformed a manner of computing. The fresh technique that sharing resources for large-scale complications can solved through grid computing. This paper designates the theories fundamental grid computing. Keywords-Enter key words or phrases in alphabetical order, separated by colon.

Future Generation Computer Systems, 2008

This special issue of Future Generation Computer Systems is devoted to modern applications of distributed and grid computing. A relatively small number of papers were selected in order to cover some important areas of distributed and grid computing. At the same time we do not pretend that all important areas of this fast developing scientific field are covered.

A scientist studying proteins logs into a computer and uses an entire network of computers to analyze data. A businessman accesses his company's network through a PDA in order to forecast the future of a particular stock. An Army official accesses and coordinates computer resources on three different military networks to formulate a battle strategy. All of these scenarios have one thing in common: They rely on a concept called grid computing. At its most basic level, grid computing is a computer network in which each computer's resources are shared with every other computer in the system. Processing power, memory and data storage are all community resources that authorized users can tap into and leverage for specific tasks. A grid computing system can be as simple as a collection of similar computers running on the same operating system or as complex as inter-networked systems comprised of every computer platform you can think of.

The Grid has the prospective to essentially change the way science and engineering are done. Aggregate power of manipulative resources connected by networks—of the Grid— surpasses that of any single supercomputer by many orders of greatness. At the same time, our skill to carry out computations of the scale and level of detail required, for example, to study the Universe, or simulate a rocket engine, are severely constrained by available computing power. Hence, such presentations should be one of the main powerful forces behind the expansion of Grid computing. Grid computing is evolving as new surroundings for solving hard problems. Linear and nonlinear optimization problems can be computationally costly. The resource access and organization is one of the most significant key factors for grid computing. It requires a mechanism with automatically making decisions, ability to support computing tasks cooperating and scheduling. Grid computing is a dynamic research area which assurances to provide a springy structure of compound, energetic and distributed resource sharing and cultured problem solving environments. The Grid is not only a low level organization for secondary computation, but can also simplify and enable material and knowledge sharing at the higher semantic levels, to support knowledge mixing and distribution.

2013

Internet technology is too much popular now a day and due to the availability of high performance computer and network technology at low cost change the view of using computer and internet. Grid computing is conceptually not like electric grids. In electric grid we can just link to the outlets of an infrastructure and we don’t need to know from where and how we are getting electricity. Grid computing led to the possibility of using distributed computers as a single large virtual network that allow sharing and computer power and data storage capacity over the internet. This paper gives an idea about grid definition, its security challenges and issues. It covers about grid characteristics, types of grids, grid middleware. It gives an overview of grid security followed by challenges in grid.

Internet technology is too much popular now a day and due to the availability of high performance computer and network technology at low cost change the view of using computer and internet. Grid computing is conceptually not like electric grids. In electric grid we can just link to the outlets of an infrastructure and we don’t need to know from where and how we are getting electricity. Grid computing led to the possibility of using distributed computers as a single large virtual network that allow sharing and computer power and data storage capacity over the internet. This paper gives an idea about grid definition, its security challenges and issues. It covers about grid characteristics, types of grids, grid middleware. It gives an overview of grid security followed by challenges in grid.

2002

This editorial summarizes a set of 28 papers gathered together by the Grid Computing Environment (GCE) group of the Global Grid Forum and published in 2002 as a special issue of Concurrency and Computation: Practice and Experience. The papers are listed at the end of this report together with associated papers in a Grid Computing book [1].