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Title: Trust and deadline aware scheduling algorithm for cloud infrastructure using ant colony optimization
Authors: Gupta, P. 
Ghrera, S.P. ItemCrisRefDisplayStrategy.rp.private.null.icon
Issue Date: 2016
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 utilization of resources and reduction in power consumption. 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 trust based scheduling algorithm using ant colony to minimize the load, OoS of the system. Proposed algorithm has proven to have better performance in term of load and reduced request failure as compared to previously proposed scheduling balancing algorithm for cloud IaaS. © 2016 IEEE.
DOI: 10.1109/ICICCS.2016.7542337
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