Power consumption analysis across heterogeneous data center using CloudSim
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Abstract
Computing paradigm plays an important role to study the scientific applications. Here we focus on tool based simulation of Cloud computing Infrastructure for power aware analysis. We introduce the cloud computing paradigm for resource like data center which is enabled with DVFS (dynamic voltage frequency scaling) with power aware deployment across the Globe in different geographic region. In this paper we find out the best policy across data center with minimum power consumption. The management of resources, to schedule the task on cloud computing environment is difficult in real time mode across the Globe in different organizations with their own power consumption policies. If there is a case of non homogenous and data center without awareness about power consumption, hosts coming under this category consume maximum power which is not in favor of green computing. To deal with these limitations, we will use a discrete-event cloud simulation toolkit to identify that how to save power utilized at infrastructure level. It provides the processing view for creation of application level task, indexing of cloudlets on shared pool of storage, computing and network resources in their power aware and non power aware management process. To demonstrate suitability of the CloudSim toolkit, we have simulated a Cloud environment. We deploy the Cloudlets on shared pool of resources provided by cloud service providers which include infinite computing power and network resources, power consumption policy for energy saving switch on or switch off process is used for host associated with data center.
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- OpenAlex
- W2547326161
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- article
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- EN
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