Result: A quantitative comparison of load balancing approaches in distributed object computing systems

Title:
A quantitative comparison of load balancing approaches in distributed object computing systems
Authors:
Publisher Information:
IEEE, Computer Society.
United States
Publication Year:
2001
Collection:
University of Hong Kong: HKU Scholars Hub
Document Type:
Conference conference object
File Description:
1850 bytes; 604419 bytes; 10776 bytes; text/plain; application/pdf
Language:
English
Relation:
Proceedings - IEEE Computer Society's International Computer Software and Applications Conference; http://www.scopus.com/mlt/select.url?eid=2-s2.0-0035161225&selection=ref&src=s&origin=recordpage; 262; 67380; 257; http://hdl.handle.net/10722/46284
DOI:
10.1109/CMPSAC.2001.960625
Rights:
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. ; ©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Accession Number:
edsbas.4F9381E8
Database:
BASE

Further Information

Several load balancing schemes are recently proposed for distributed object computing systems, which are widely envisioned to be the desired distributed software development paradigm due to the higher modularity and the capability of handling machine and operating system heterogeneity. However, while the rationales and mechanisms employed are dramatically different, the relative strengths and weaknesses of these approaches are unknown, making it difficult for a practitioner to choose an appropriate approach for the problem at hand. In this paper, we describe in detail three representative approaches, which are all practicable, and present a quantitative comparison using our experimental distributed object computing platform. Among these three approaches, namely, JavaSpaces based, request redirection based, and fuzzy decision based, we find that the fuzzy decision based algorithm outperforms the other two considerably. ; published_or_final_version