Grid Computing: Technicalities and Overview (original) (raw)
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GRID COMPUTING: TERMS AND OVERVIEW
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.
Grid Computing-An Emerging Technology that enables large- scale resource sharing
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.
A Review Paper on Grid Computing
2013
Grid is a generalized network computing system that is supposed to scale to Internet levels and handle data and computation seamlessly. Grid computing an extension of distributed computing supports computation across multiple administrative domains which enable it to be distributed over a local, metropolitan or wide area network. Grid infrastructure is a large set of nodes geographically distributed and connected by a communication. As, the users can access the resources simply and transparently without knowing where they are physically located, there are many challenges involved for constructing the grid environment. This paper gives a detailed survey on the challenges and characteristics of the grid and how to manage the resources in the grid environment. This paper also deals with the security issues related to grid. Keywords-Grid computing, Grid Architecture, Grid
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.
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.
Grid Computing: Status of Technology In Current Perspective
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.
A Survey on Current Trends and Grid Computing
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.
Special section: Applications of distributed and grid computing
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.
Special Issue: Grid Computing, High Performance and Distributed Application
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.