publication . Article . 2016

A Bio-inspired Approach for Power and Performance Aware Resource Allocation in Clouds

Kumar Rajesh; Kumar Ashok; Sharma Anju;
Open Access
  • Published: 01 Jan 2016 Journal: MATEC Web of Conferences, volume 57, page 2,008 (eissn: 2261-236X, Copyright policy)
  • Publisher: EDP Sciences
Abstract
In order to cope with increasing demand, cloud market players such as Amazon, Microsoft, Google, Gogrid, Flexiant, etc. have set up large sized data centers. Due to monotonically increasing size of data centers and heterogeneity of resources have made resource allocation a challenging task. A large percentage of total energy consumption of the data centers gets wasted because of under-utilization of resources. Thus, there is a need of resource allocation technique that improves the utilization of resources with effecting performance of services being delivered to end users. In this work, a bio-inspired resource allocation approach is proposed with the aim to imp...
Subjects
free text keywords: Energy consumption, Cloud computing, business.industry, business, Resource allocation, End user, Efficient energy use, Distributed computing, Resource allocation (computer), Cuckoo search, Operations management, Engineering, CloudSim, Engineering (General). Civil engineering (General), TA1-2040
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