We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Distributed Computing System for Parallel Processing

Published on March 2013 by Pallavi S. Shendekar, Vijay S. Gulhane
journal_cover_thumbnail

National Level Technical Conference X-PLORE 2013
Foundation of Computer Science USA
XPLORE - Number 1
March 2013
Authors: Pallavi S. Shendekar, Vijay S. Gulhane
012561aa-0179-4515-90bf-b14a969240a0

Pallavi S. Shendekar, Vijay S. Gulhane . Distributed Computing System for Parallel Processing. National Level Technical Conference X-PLORE 2013. XPLORE, 1 (March 2013), 13-15.

@article{
author = { Pallavi S. Shendekar, Vijay S. Gulhane },
title = { Distributed Computing System for Parallel Processing },
journal = { National Level Technical Conference X-PLORE 2013 },
issue_date = { March 2013 },
volume = { XPLORE },
number = { 1 },
month = { March },
year = { 2013 },
issn = 0975-8887,
pages = { 13-15 },
numpages = 3,
url = { /proceedings/xplore/number1/11300-1305/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Level Technical Conference X-PLORE 2013
%A Pallavi S. Shendekar
%A Vijay S. Gulhane
%T Distributed Computing System for Parallel Processing
%J National Level Technical Conference X-PLORE 2013
%@ 0975-8887
%V XPLORE
%N 1
%P 13-15
%D 2013
%I International Journal of Computer Applications
Abstract

Distributed computing is a form of parallel computing, but parallel computing is most commonly used to describe program parts running concurrently on multiple processors in the same computer. Both types of processing require dividing a program into parts that can run simultaneously, but distributed programs often must deal with assorted environments, network links of varying latencies, and unpredictable failures in the network or the computers. In distributed computing a program is divide into parts that run simultaneously on multiple computers communicating over a network. There are many different types of distributed computing systems and many challenges to overcome in successfully designing one. The main goal of this paper is to connect users and resources in a transparent, open, and scalable way. Ideally this arrangement is drastically more fault tolerant and more powerful than many combinations of stand-alone computer systems.

References
  1. Gupta R. , Chaube A. R. , Singh S. (2011) International Journal of Advanced Research in Computer Science and Software Engineering,.
  2. Wang Y. and Morris R. ( 1985) IEEE Trans. Computing, 34(3), 204-217.
  3. Stone H. S. (1978) IEEE Trans. Software Eng. , 4(3).
  4. Stone H. S. (1977) IEEE Trans of Software Engineering, 3(1), 95-93.
  5. Miron Livny, Myron Melman (1982) The Computer Network Performance Symposium, 47-55.
  6. Hsu C. H. and Liu J. W. (1986) The 6th International Confer-ence on Distributed Computing Systems, 216-223.
  7. Derek L. Eager, Edward D. Lazowska, John Zahorjan (1986) IEEE Transactions on Software Engineering, 12(5), 662-675.
  8. Eager D. L. , Lazowska E. D. and Zahorjan J. (1986) Perfor-mance Evaluation, 6(1), 53-68.
  9. Chow Y. C. and Kohler W. (1979) IEEE Transactions on Com-puters, 28, 334-361.
  10. Joshi E. International Journal of Computer Applications, 1(18), 0975 - 8887.
  11. Deelman E. et al. (2004) European Across Grids Conference, 11-20 .
  12. Lynch,Nancy A (1996),Distributed Algorithm, Morgan Kaufmann, ISBN 978-1-58488-564-1.
Index Terms

Computer Science
Information Sciences

Keywords

Distributed Computing Parallel Processing Data Conversion Distributed Programming