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Performance Analysis of Distributed Systems using BOINC

by Muhammed Suhail T. S.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 5
Year of Publication: 2016
Authors: Muhammed Suhail T. S.
10.5120/ijca2016907967

Muhammed Suhail T. S. . Performance Analysis of Distributed Systems using BOINC. International Journal of Computer Applications. 134, 5 ( January 2016), 34-38. DOI=10.5120/ijca2016907967

@article{ 10.5120/ijca2016907967,
author = { Muhammed Suhail T. S. },
title = { Performance Analysis of Distributed Systems using BOINC },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 5 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 34-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number5/23913-2016907967/ },
doi = { 10.5120/ijca2016907967 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:33:22.922375+05:30
%A Muhammed Suhail T. S.
%T Performance Analysis of Distributed Systems using BOINC
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 5
%P 34-38
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we are discussing about the performance of distributed computing systems. Performance is a key parameter which needs to be addressed for any system. Since huge computational power could be employed by using distributed systems, the performance or the complete utilization of such power is also of utmost importance. The key quality performance characteristics such as response time, throughput and scalability are vital to the operation of distributed computing systems. When huge, geographically separated systems are employed the reliability as well as the availability of these systems becomes crucial. We will be looking into the possibility of reducing the downtime of distributed systems and providing a consistent performance throughout its entire life cycle.

References
  1. Carl Christensen, Tolu Aina and David Stainforth The Challenge of Volunteer Computing With Lengthy Climate Model Simulations, Department of Atmospheric Physics University of Oxford Clarendon Laboratory Oxford OX1 3PU United Kingdom(carlc,tolu,das)@atm.ox.ac.uk.
  2. Trilce Estrada · Michela Taufer · David P. Anderson Performance Prediction and Analysis of BOINC Projects: An Empirical Study with EmBOINC published on 4 August 2009.
  3. 1 David P. Anderson, 2 Carl Christensen and 3 Bruce Allen Designing a Runtime System for Volunteer Computing, 1 UC Berkeley Space Sciences Laboratory, 2 Dept. of Physics, University of Oxford, 3 Physics Dept., University of Wisconsin - Milwaukee.
  4. B. Clifford Neuman, Scale in Distributed Systems, Information Sciences Institute, University of Southern California
  5. Wikipedia, the free encyclopedia, https://en.wikipedia.org/wiki/Distributed_computinghttps://en.wikipedia.org/wiki/Berkeley_Open_Infrastructure_for_Network_Computing
Index Terms

Computer Science
Information Sciences

Keywords

IT – Information Technology BOINC – Berkeley Open Infrastructure for Network Computing API – Application Interface Chunk – small collection of data mb – Mega Byte FLOP – Floating Point Instruction XML – Extensible Markup Language

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