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Log Analysis as a way to assist Opera mini cluster management decisions

Cheremetiev, Valeri
Master thesis
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Year
2008
Permanent link
http://urn.nb.no/URN:NBN:no-19248

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  • Institutt for informatikk [3581]
Abstract
This thesis considers ways that analysis of Opera mini logs can assist decisions

related to global and local load balancing of Opera mini clusters. The analy-

sis is aimed to determine the distribution of traffic with respect to country of

origin and server within the cluster over the period of 2 weeks by creating a

system for extraction and analysis of log data. Findings show that a large part

of traffic originates in Russia with India and Indonesia being second and third.

This trend is expected to continue. The total number of requests is shown to

be increasing exponentially. The internal load balancing algorithm shows un-

even results due to memory effect and high load on the cluster during the peak

time.
 
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