DCSim: Cooling Energy Aware VM Allocation framework for a Cloud Data Center (Record no. 236581)

MARC details
000 -LEADER
fixed length control field 01469nam a2200145Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231221s9999 xx 000 0 und d
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number CPCS19-1861
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Priyanka Bhandia. Pavan Yekbote. Ravi Shreyas. Nikhil Singh. Phalachandra H L. Dinkar Sitaram.
245 #0 - TITLE STATEMENT
Title DCSim: Cooling Energy Aware VM Allocation framework for a Cloud Data Center
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2019
510 ## - CITATION/REFERENCES NOTE
Name of source Explosion of digital content has resulted in large amounts of resources being provisioned and managed for various applications in cloud Data Centers. Energy consumption in these large Cloud Data Centers is a rising concern, accounting for 1.3% of the worlds electricity consumption [1]. Data Center cooling accounts for 40% of this energy consumption [2]. Of the various mechanisms available for studying the energy consumption in Data Centers, a simulation based approach is quite popular. In this paper, we propose DCSim, a configurable extension to CloudSim, a popularly used cloud infrastructure and simulation framework. CloudSim provides coarse power models to calculate total energy consumption in a Data Center for a given workload, but has no provision to factor in the Data Center topology and current cooled area into this power model. This makes building intelligent cooling energy aware allocation policies in CloudSim difficult.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Green Computing , Cloud Computing , Modeling , Simulation
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Institutional repository
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26/01/2024   CPCS19-1861 IR1861 https://ieeexplore.ieee.org/document/9079962 26/01/2024 Institutional repository     Central Library   Central Library Central Library Central Library   CS RS 1  

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