Survey Paper on GRID Computing

In this paper, review of Grid computing has been done.The paper also presents the S.W.O.T. analysis of Grid Computing.

working on full capacity and one is sitting ideal, then the overall throughput is less than that can be achieved.

2017

After 1990's there is a huge change in the world of computing. The concept of parallel computing is a combination of hardware and software which allows flexibility and seamless service oriented network. This computing allows sharing of resources from distributed and diverse locations. Grid computing systems are complex and dynamic. Grid has appeared as a new approach to high performance distributed computing infrastructure. Grid has identified a new way of managing and organizing computer networks. It's mainly for resource sharing. The aim of grid computing approach is to larger scale computation. The geographically distributed computational resources are collaborated with a grid view as a virtual computer. This paper presents the various types of grid, grid architecture load balancing, fault tolerance and challenges in 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.

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.

2018

Grid computing environment is used for large computation problem. In Today’s world various complex tasks has been done in different scientific area so there is need of a lot of computational power to solve different types of complex scientific problems. Although Humans have good brain but still can not able to solve complex scientific problems as computers can. Grid’s High performance computational environment is a good Solution. Performance of Grid is Based on various Constraints as the resource’s bandwidth, resource’s computational power, File size of jobs, the locations of components and so on. In this paper we are giving brief introduction of Grid Computing and some simulation tools used in Grid Area.

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.

Concepts for Managing Large-Scale Applications

This chapter presents a historical record of the advent of Grid with a recourse to some basic definitions commonly accepted by most researchers. It discusses the current and potential users of Grid computing and the expected changes in the user base as it gains popularity. The role of the Internet infrastructure in shaping the grid evolution received detailed treatment. Furthermore, the chapter contrasts grid computing with distributed and peer-to-peer computing and highlighted the salient features. Finally, the chapter discusses the recent advances in Web and Grid service technologies, including international projects, emerging standards and organizations, and the current challenges faced by Grid researchers.

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.

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.

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.

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.

Grid computing is a technology about the sharing of distributed resources and integration system at a large scale. Grid computing is the mainstream technology for the resource sharing and system at the large-scale. Grid computing is specially made for scientific application but now a day is becoming important model in the commercial application. To understand the grid working we described the architecture main theme of grid computing is the grid control protocol which described the structure of grid computing. Grid protocol has the five layers. A comprehensive grid computing analyzed by regarding selfish grid computing in grid selfish behavior of machine can damage performance as the whole. A hierarchical game model of grid is presented that machine in real life with the structure of physical. A hierarchical structure is used in the management of scalability of grid. In grid we define the scalability by the scalability management. In this paper we analyzed the genetic algorithm that is based on schedulers for allocating jobs to resources efficiently in the grid computing. This algorithm assigns the jobs to resources with efficiency in the Grid computing.

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.

Future Generation …, 2010

Grid computing has been the subject of many large national and international IT projects in the past. However, it seems that the general expectations in Grids have not come true. Instead in the view of many observers, the Grid concept is on the way to be replaced by Cloud computing and other as-a-Service approaches. In this paper, we try to analyze the current situation and to describe potential obstacles for the future development of Grids. Although pointing out shortcomings of the past we state that the concept of Grids is still valid and includes new developments like Cloud computing and virtualization. Further, we believe that future applications need this concept and that this concept in turn needs more research for its reliable, efficient and easy to use implementation.