Characterizing Servers Workload in Cloud Datacenters

Mastering the characteristics of the server workload is a key prerequisite in planning and good management of resources within a datacenter. However, for the purpose of research, it is very difficult to find reliable data that can be used to define models adapted to operations in data centers and te...

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Bibliographic Details
Published in2015 3rd International Conference on Future Internet of Things and Cloud pp. 657 - 661
Main Authors Gbaguidi, Frejus, Boumerdassi, Selma, Renault, Eric, Ezin, Eugene
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2015
Subjects
Cloud computing
Data Center
Energy consumption
Google
Planning
Production
Program processors
Random access memory
Servers
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DOI10.1109/FiCloud.2015.120

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Summary:Mastering the characteristics of the server workload is a key prerequisite in planning and good management of resources within a datacenter. However, for the purpose of research, it is very difficult to find reliable data that can be used to define models adapted to operations in data centers and tests. Google unwounded a portion of this problem by recently publishing a collection of traces from one of its biggest data centers. We conducted a series of analyzes on those data and it basically shows that a large part of the server load relates to non-priority applications and the amount of resources (mainly processors) consumed by servers is much higher than those required for the processing of the received requests. It also highlights the huge amount of wasted energy during processing in those types of data centers.
DOI:10.1109/FiCloud.2015.120