Grid computing is a special type of parallel computing, which allows us to unite pools of servers, storage systems, and networks into a single large virtual super computer. Grid computing has the advantages of solving complex problems in a shorter time and also makes better use of the existing hardware. It can take advantage of underutilized resources to meet business requirements while minimizing additional costs. There are many Grid setup tools available. In this paper, Globus Toolkit, an open source tool for grid enabled applications, is considered. Initially grid is established between two systems running Linux, using Globus Toolkit. A simple matrix multiplication program, which is capable of running both in grid and stand alone systems, is developed. The application is executed in single system varying the order of the matrices. The same application is split into two sub jobs and run on two grid machines with different orders. Finally the results of the execution are compares and the results are presented in graphs. The work can be extended further to find the type of parallelizing suitable for the application developed. Similarly, FP tree algorithm is taken and the data sets are fed into different machine and in stand alone system. A suitable load balancing mechanism for grid application is discussed. The sections in the paper are arranged as following; Introduction to Grid, Grid setup using Globus toolkit, splitting of the matrix application, FP tree algorithm, performance results, future works, conclusion and references.
Raghu, P. and Sriram, K.
"Performance Evaluation of Computation Intensive Tasks in Grid,"
International Journal of Computer and Communication Technology: Vol. 5:
1, Article 4.
Available at: https://www.interscience.in/ijcct/vol5/iss1/4