A Survey on the Techniques and Algorithms For Data Parallelism

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

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.

2013

— From the very beginning various measures are taken or consider for better utilization of available limited resources in the computer system for operational environment, this is came in consideration because most of the time our system get free and not able to exploit the system resource/capabilities as whole cause low performance. Parallel Computing can work efficiently, where operations are handled by multi-processors independently or efficiently, without any other processing capabilities. All processing unit’s works in a parallel fashioned and increases the system throughput without any resource allocation problem among different processing units. But this is limited and effective within a single machine. Today in this computing world, maintaining and establishing high speed computational work environment in a distributed scenario seems to be a challenging task because this environment made all operations by not depending on single resources but by interacting with other resourc...

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.

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.

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.

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.

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.

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.

Now days the organizations often use data from several resources. Data is characterized to be heterogeneous, unstructured and usually involves a huge amount of records. This implies that data must be transformed in a set of clusters, parts, rules or different kind of formulae, which helps to understand the exact information. The participation of several organizations in this process makes the assimilation of data more difficult. Data mining is a widely used approach for the transformation of data to useful patterns, aiding the comprehensive knowledge of the concrete domain information. Nevertheless, traditional data mining techniques find difficulties in their application on current scenarios, due to the complexity previously mentioned. Data Mining Grid tries to fix these problems, allowing data mining process to be deployed in a grid environment, in which data and services resources are geographically distributed belong to several virtual organizations and the security can be flexibly solved. We propose both a novel architecture for Data Mining Grid, named DMG.