Parthasarathi PattnayakPamela PalW GaojinJ HongX ChengzhongW BalajiF ShengzhongJ PingchuangK KimR BuyyaJ KimY LeeA ZomayaC HsuS ChenC LeeH ChangK LaiK LiC RongS SrikantaiahA KansalF ZhaoS AliH SiegelM MaheswaranD HensgenX FanD WeberL BarrosoD MeisnerB GoldT WenischC HsuK SlagterS ChenY ChungYoung LeeAlbert ChoonZomayaWenhong TianQin XiongJun CaoNakku KimJungwook ChoEuiseong SeoIrena BojanovaAugustine SambaJonathan Koomey
Energy saving in a Cloud Computing environment is a multidimensional challenge, which can directly decrease the in-use costs and carbon dioxide emission, while raising the system consistency.We in this paper, suggest the energy saving with task consolidation, by minimizing the number of unused resources in a cloud computing environment.In this paper, it is proposed that task consolidation using Minimization Of IDLE VM algorithm.The existing ECTC has been compared with the recital of the recommend algorithms, and MaxMaxUtil energy conscious task consolidation algorithms (i.e. it minimizes the number of idle resources by allocating a task at an instance to a VM which is currently idle).The outcomes have shown that the suggested algorithms surpass the ECTC and MaxMaxUtil algorithm in terms of the CPU utilization and energy consumption.
Kumar DilipBibhudatta SahooTarni Mandal
Kumar DilipBibhudatta SahooTarni Mandal
Sanjaya Kumar PandaPrasanta K. Jana
Sachin KumarSaurabh PalSatya SinghRaghvendra Pratap SinghSanjay Kumar SinghPriya Jaiswal
Kumar DilipBibhudatta SahooBhaskar MondalTarni Mandal