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COMPARISON OF HASH STRATEGIES FOR FLOW-BASED LOAD BALANCING

International Journal of Electronic Commerce Studies

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Title COMPARISON OF HASH STRATEGIES FOR FLOW-BASED LOAD BALANCING
 
Creator Sanguanpong, Surasak; Kasetsart University
Pittayapitak, Witsarut; Kasetsart University
Koht-Arsa, Kasom; Kasetsart University
 
Subject Hashing; Hash Functions; Flow-based; Load Balancing
 
Description Hashing is powerful tool and widely used for flow-based load balancing scheme in parallel processing. In this paper, we analyze and compare computing overhead and load dispersion characteristics of hash strategies using XOR and CRC operations under four hashing keys schemes (from 2-tuple to 5-tuple). We conduct experiments with a real-life 24-hour network traffic repository. The results show that XOR32 has the lowest computing overhead among all hash function groups. Moreover, XOR32 with 4-tuple and XOR32 with 5-tuple are the two outstanding strategies that provide very smooth distribution of traffic across multiple links thus balancing the load for flow-based applications.To cite this document: Surasak Sanguanpong, Witsarut Pittayapitak, and Kasom Koht-Arsa, "Comparison of hash strategies for flow-based load balancing", International Journal of Electronic Commerce Studies, Vol.6, No.2, pp.259-268, 2015.Permanent link to this document: http://dx.doi.org/10.7903/ijecs.1346
 
Publisher Academy of Taiwan Information Systems Research
 
Contributor Department of Computer Engineering, Faculty of Engineering, Kasetsart University
 
Date 2015-04-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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Systems Development; Experimental
 
Format application/pdf
 
Identifier http://academic-pub.org/ojs/index.php/ijecs/article/view/1346
 
Source International Journal of Electronic Commerce Studies; Vol 6, No 2 (2015); 259-268
2073-9729
 
Language eng
 
Relation http://academic-pub.org/ojs/index.php/ijecs/article/view/1346/297
http://academic-pub.org/ojs/index.php/ijecs/article/downloadSuppFile/1346/22
 
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