A Survey on the Techniques and Algorithms For Data

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It make. International Journal of Computer Science and Information Security (IJCSIS),. Vol. 15, No. 1, January 2017. 145 https://sites.google.com/site/ijcsis/.
International Journal of Computer Science and Information Security (IJCSIS), Vol. 15, No. 1, January 2017

A Survey on the Techniques and Algorithms For Data Parallelism 1

Muzamil Mehboob, 2Dr.Maruf Pasha, 4Ghulam Irtaza,1Aitizaz Ali,1Sadf Mehmood 1 Deptt of computer science 2 Department of IT 3 Department of IT 2 BZU Multan University of Education Vihari Punjab 1,3 University of Gujrat Sialkot [email protected]; [email protected]

Abstract-Grid computing basically to make a super computer virtually by connecting the different machines remotely. The major objective of Grid computing resource sharing by combining the different administrative domains to obtain the common goal. In grid computing each node contribute and could get resources to resource pool. But unfortunately grid computing can‘t get big place in academic circles because it‘s considered to be a hard to implement technology. Grid are constructed through the universally useful Grid programming libraries are called middleware. A particular Grid container be used for different application. A Grid can be dedicated for some special applications. Keywords-Grid,cloud,scalability,performance,core

Introduction

For the suggestion of platform for this particular project in this thesis describe efficient and scalable option and also describe history of computing up to some extent. With the passage of time for achievement of scalability and high performance scientific community came forward and gave different ideas like cloud computing, Grid, Ubiquitous . Due to low speed connection of storage areas and processors is the main performance disadvantages. Take place independently without the involvement the result of intermediate results between processors so in these situations grid is favorable because for grid little need network between the hubs in respect to the limit of web.[66] Supercomputer and Grid computing environment there are also some programing and deployment differences. It is very costly and difficult to write the program for the super computer which have customize operating system and we need some other program to handle the concurrency control. In this scenario grid is better than supercomputer because we can write conventionally and standalone program for each machine and given an alternate part of the same issue can keep running on various machine. It make

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