Cluster based Performance Evaluation of Run-length Image Compression
|
10.5120/4015-5702 |
Ankit Arora, Amit Chhabra and Harwinder Singh Sohal. Article: Cluster based Performance Evaluation of Run-length Image Compression. International Journal of Computer Applications 33(5):14-20, November 2011. Full text available. BibTeX
@article{key:article,
author = {Ankit Arora and Amit Chhabra and Harwinder Singh Sohal},
title = {Article: Cluster based Performance Evaluation of Run-length Image Compression},
journal = {International Journal of Computer Applications},
year = {2011},
volume = {33},
number = {5},
pages = {14-20},
month = {November},
note = {Full text available}
}
Abstract
Modern data processing tasks involving high computation with huge data intensive work are not providing any usual response as they run over a conventional computing architecture, where the synergism capabilities of such machines are limited to single central processing unit. Improvement over such single processing architecture is not the big issue as many earlier efforts in this era has been performed, which involves overlapped pipelined architectures. Later the technology extends to involve multiple processing elements under the control of a common clock. A current trend involves multiple central processing units. Despite of such efforts, another way of achieving parallel effect is to make effective utilization of multi-computer hardware in the form of massively parallel clustering over a local area network. Further the experiment lead to the analysis of Run-length image compression over a network cluster-involving client – server model of computation consisting software modules implemented via TCP/IP sockets for the requirement of increased speedup as well as throughput. Finally, the conclusion containing comparisons over clustered environment will be discussed.
Reference
- Amit chhabra, Gurwinder Singh 2010 Cluster Based Parallel Computing framework for Performance evaluation of Parallel Applications, Vol.2 April – 2, International Journal of Computer Theory and Engineering.
- Amit chhabra, Gurwinder Singh 2009 Simulated Performance Analysis of Multiprocessor Dynamic Space Sharing Scheduling Policy, Vol.9 Feb – 2, International Journal of Computer Theory and Engineering
- Hemal V. Shah, Calton Pu, Rajesh S. M. 2006 Network-Based “Parallel Computing. Communication, Architecture, and Applications” Vol.-1602, Springer Berlin / Heidelberg, Dec 29.
- Chee Shin Yeo, Raj Kumar Buyya, Hossein Pourreza, Rasit Eskicioglu, Peter Graham, Frank Sommers 2005 Cluster “Computing: High-Performance, High-Availability, and High-Throughput Processing on a Network of Computers”. ICCS- 5th International Conference, Springer Verlag Berlin Heidelberg.
- Daniel Schulze Zumkley Architectures of Parallel computers, Westfälische Wilhelm’s Universitat Munster.
- Visual Basic 6 Client/Server Programming Gold Book 1998, The Coriolis Group, ISBN: 1576102823.
- M.J.Flynn, 1972 “Some computer organizations and their effectiveness,” IEEE transactions on computers, 21(9):948- 960.
- Jonathan C. Hardwick 1997 "Practical Parallel Divide-and-Conquer Algorithms", CMU-CS-97-197