CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Distributed Cluster Processing to Evaluate Interlaced Run-Length Compression Schemes

by Ankit Arora, Sachin Bagga, Rajbir Singh Cheema
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 6
Year of Publication: 2012
Authors: Ankit Arora, Sachin Bagga, Rajbir Singh Cheema
10.5120/6913-9311

Ankit Arora, Sachin Bagga, Rajbir Singh Cheema . Distributed Cluster Processing to Evaluate Interlaced Run-Length Compression Schemes. International Journal of Computer Applications. 46, 6 ( May 2012), 26-33. DOI=10.5120/6913-9311

@article{ 10.5120/6913-9311,
author = { Ankit Arora, Sachin Bagga, Rajbir Singh Cheema },
title = { Distributed Cluster Processing to Evaluate Interlaced Run-Length Compression Schemes },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 6 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 26-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number6/6913-9311/ },
doi = { 10.5120/6913-9311 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:04.461220+05:30
%A Ankit Arora
%A Sachin Bagga
%A Rajbir Singh Cheema
%T Distributed Cluster Processing to Evaluate Interlaced Run-Length Compression Schemes
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 6
%P 26-33
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Parallel computation, a greater advancement in computational hardware as well as new achievement in current scientific computing such as image processing involves huge exhaustive computation and data processing leading towards parallel architectures. Parallel hardware organization basically a suitable interconnection among computational hardware, where current trends now involves clustered organization of distributed hardware to achieve parallel effects. Cluster environment consisting multi-computer network nodes provides flexible architecture towards high complex data parallelism as well as control parallelism operations. Further detail consists interlaced graphics mechanism with run-length encoding to achieve high compression benefits. Run-length compression speedup benefits have already described in the research IJCA-2011 cluster based performance evaluation of run-length image compression, which is now updated to cover interlaced lossy compression schemes. In general interlacing provides a lossy compression formulation but acceptable in real-life scenarios. Finally, the interlaced methodology and cluster based analysis results will be discussed.

References
  1. Ankit Arora, Amit chhabra Nov 2011, Cluster Based Performance evaluation of Run length Image Compression, Vol. 33, International Journal of Computer Application, Foundation of Computer Science, New York.
  2. Yan Fang Oct 2011, parallel implementation of fractal image compression in web service environment (IEEE-2011).
  3. Gerald Sabin, Matthew Lang 2006, Moldable parallel job scheduling using job efficiency: an iterative approach 12th International Conference, Springer Verlag Berlin Heidelberg ISBN: 978-3-540-71034-9.
  4. M. Kutila, J. Viitanen, Parallel Image Compression and Analysis of Wavelets, Word Academy of Science Engineering and Technology 2005.
  5. TD Nguyen, 1996 Parallel Application Characterization for Multiprocessor Scheduling, Department of Computer Science and Engineering, Box 352350 University of Washington, Seattle, WA 98195-2350 USA.
  6. Kai Hwang and Faye A. Briggs, Computer Architecure and parallel processing, Tata McGraw Hill Publishing Ltd. 1985, Computer Science Series, ISBN: 007-066354-8.
  7. Joseph JaJa, Introduction to Parallel Algorithms, University of Maryland 03/24/1992, ISBN-13: 9780201548563, Addison-Wesley Professional
  8. John Amanatides, Antialiasing of Interlaced Video Animation 1990, ACM-0-89791-344-2/90/008/0077.
  9. Carl Franklin, Visual Basic 6. 0 Internet Programming 1999, ISBN-10: 0471314986, Wiley Publishing Ltd.
Index Terms

Computer Science
Information Sciences

Keywords

Parallelism Distributed Clustering Multi-computers Run-length Image Compression Interlacing Twips

Powered by PhDFocusTM