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Title: Power and Fault Aware Reliable Resource Allocation for Cloud Infrastructure
Authors: Guptaa, Punit
Ghrera, S. P.
Keywords: Cloud computing
Cloud infrastructure
Reliable resource
Issue Date: 2016
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Cloud computing is now trending and more popular in these days for the computation and adopted by many companies like google, amazon, Microsoft etc. As the cloud size increases with increase in number of data center power consumption over a data center increases. As number of request over the data center increase with increase in load and power consumption of the data center. So the requests need to be balanced in such manner which having more effective strategy for resources utilization, request failure and improved power consumption. Cloud computing made it more complicated with respective to requests type that may increase or decrease power consumption. A recent survey on cloud computation shows that the power consumption of a server, increasing in a linear way due to utilization of resource (processors) resulting in request failure at datacenters. Request balancing in such manner without having knowledge of load over server maximize resource utilization but also increasing power consumption at server. So to overcome these issues in cloud Infrastructure as a service (IaaS), we have proposing a fault and power aware scheduling algorithm to minimize the power consumption, request failure and cost over a data center. Proposed algorithm has proven to have better performance in term of load and power efficiency as compared to previously proposed load balancing algorithm for cloud IaaS.
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