Trust and deadline aware scheduling algorithm for cloud infrastructure using ant colony optimization

Punit Gupta, S. P. Ghrera
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引用次数: 11

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.
基于蚁群优化的云基础设施信任和期限感知调度算法
云计算现在是一种趋势,并且在这些天的计算中更受欢迎,并被许多公司如Google, Amazon, Microsoft等所采用,随着云规模的增加,数据中心数量的增加,数据中心的功耗也在增加。随着数据中心负载和功耗的增加,通过数据中心的请求数量也在增加。因此,需要以具有更有效的资源利用策略和降低功耗的方式来平衡请求。在不了解服务器负载的情况下,以这种方式进行请求平衡可以最大限度地提高资源利用率,但也会增加服务器上的功耗。因此,为了克服云基础设施即服务(IaaS)中的这些问题,我们提出了一种基于信任的调度算法,该算法使用蚁群来最小化系统的负载oo。与之前提出的云IaaS调度平衡算法相比,本文提出的算法在负载和减少请求失败方面具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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