Overview of Grid Computing

Grid and Cooperative Computing, 2003

The common goals of the Grid and peer-to-peer communi- ties have brought them in close proximity. Both the technologies overlay a collaborative resource-sharing infrastructure on existing (public) net- works. In realizing this shared goal, however, they concentrate on signif- icantly contrasting issues. The Grid paradigm focuses on performance, control, security, specialization, and standardization. On the other hand, the peer-to-peer paradigm

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.

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.

2005

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.

The evolution of the global scientific cyberinfrastructure (CI) has, over the last 10+ years, led to a large diversity of CI instances. While specialized, competing and alternative CI building blocks are inherent to a healthy ecosystem, it also becomes apparent that the increasing degree of fragmentation is hindering interoperation, and thus limiting collaboration, which is essential for modern science communities often spanning international groups and multiple disciplines (but even 'small sciences', with smaller and localized communities, are often embedded into the larger scientific ecosystem, and are increasingly dependent on the availability of CI.) This open document represents the results of that workshop -including a draft of a mission statement and a proposal for a blueprint process -to inform the wider community as well as to encourage external experts to provide their feedback and comments. Grid computing has been promoted for more than 10 years as the Advanced Computational Infrastructure of the future, see Figure . Many scientists and others have considered grid computing as one of main sources of the impact that scientific and technological changes have made on the economy and society. This claim is based on the observation that the usage of large data volumes has become increasingly important to many disciplines, from natural sciences, engineering to the humanities and social sciences. However, despite significant investments in the grid concept, the number of users is not increasing. Instead, new concepts (or at least new terms) like cloud computing seem to be replacing the grid computing approach (or name). Many fields have depended on computational science simulations, and many now are beginning to depend on computationally intensive data analysis. Infrastructure providers seek to build computational systems that support these researchers. Developing the common vision that is needed to support these efforts is the eventual goal of the Zakopane workshop (Grid Computing: The Next Decade -), which brought together international leaders and early stage researchers in grid computing and e-Science from Europe, the USA, and Asia to discuss the needs and processes towards this goal.

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.

Database

Abstract: This paper presents the grid computing technology, the recent developments in this field. The idea of grid computing has its origins in the early development of computer networks and technologies involved, given that CPU cycle use" free" or" unused" was ...