GRID COMPUTING: TERMS AND OVERVIEW

2005

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.

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.

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.

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.

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.

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.

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.

Grid Computing. Wiley InterScience, Hoboken, NJ, S, 2003

Part A of this book, chapters 1 to 5, provides an overview and motivation for Grids. Further chapter 37 is an illuminating discussion from 1992 of Metacomputing-a key early concept on which much of the Grid has been built. Chapter 2 is a short overview of the Grid reprinted from Physics Today [14]. Chapter 3 gives a detailed recent history of the Grid while chapter 4 describes the software environment of the seminal I-WAY experiment at SC95. This conference project challenged participantsincluding for instance the Legion activity of chapter 10-to demonstrate Grid-like applications on an OC-3 backbone. Globus [6] grew out of the software needed to support these 60 applications at 17 sites; the human intensive scheduling and security used by I-WAY showed the way to today's powerful approaches. Many of these applications employed visualization including CAVE virtual reality stations as demonstrated in the early Metacomputing work of chapter 37. Chapter 5 brings us to 2002 and describes the experience building Globus-based grids for NASA and DoE. Metacomputing and hence the Grid was born in the High Performance Computing and Communication (HPCC) activities of the 1980's and 1990's. In particular the multiagency Grand (application) Challenges brought critical issues to the fore. We realized the importance of coupling programs together to solve multidisciplinary applications. Here we see beginnings of "Science as a team sport" elaborated in section 9. We saw applications like that of figure 2 that linked instruments, visualization, computing and data [3]-often in a pipeline-and were one of the first important classes of successful Grid applications. HPCC of course built on the growing use of parallel computing and software infrastructure like PVM, MPI, HPF, and OpenMP to support scalable applications. Initially it was thought that the Grid would be most useful in extending these parallel computing approaches from tightly coupled clusters to geographically distributed systems. However more important has been the integration of loosely coupled system-each component of which might be running in parallel on a low-latency parallel machine. The critical Grid task of managing these heterogeneous components as we scale the size of distributed systems replaces that of the tight synchronization of the typically identical (in program but not data as in SPMD-single program multiple data-model) parts of a domain decomposed parallel application. Networking was injected into the Grid-initially with initiatives like the Gigabit testbed program [15] with its projects-Aurora, Blanca, Casa, Nectar, and Vistanet-and dual goals: to investigate potential testbed network architectures, and to explore their usefulness for end-users. Computational Grids got their name from analogies with other national or global infrastructure systems [16]. They share properties with Electric Power Grids; both are ubiquitous; in both cases one does not need to know source of (electric or computing) power (transformer or generator, PC or supercomputer) and the supplying organization. Computational Grids also have differences-they have a wider performance spectrum, more and more heterogeneous services, complex access and security issues, and complex socio-political factors. As we move from distributed to Grid computing, we are moving from largely addressing geographical separation to a focus on the integration and management of software. We are developing a new software engineering as the Grid Web services described starting in chapter 7, provide a component model applicable to any software development project. Interesting features include intrinsic self-documentation of such

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.