000			01469nam a2200145Ia 4500
008			231221s9999 xx 000 0 und d
041			_aEnglish
082			_aCPCS19-1861
100			_aPriyanka Bhandia. Pavan Yekbote. Ravi Shreyas. Nikhil Singh. Phalachandra H L. Dinkar Sitaram.
245		0	_aDCSim: Cooling Energy Aware VM Allocation framework for a Cloud Data Center
260			_c2019
510			_aExplosion 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			_a Green Computing , Cloud Computing , Modeling , Simulation
942			_cIR
999			_c236581 _d236581