云环境下基于和谐搜索的资源优化技术增强QoS

Geeta Singh, Santosh Kumar, S. Prakash
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引用次数: 0

摘要

在云环境下,提高服务质量是解决多目标问题的一项具有挑战性的任务。有效的负载均衡和调度是提高QoS的一种解决方案。作业调度是一个NP完全问题,特别是当作业数量较大时,为了提高服务质量,很难得到最优调度。通过减少完成时间和最大化资源利用率,可能需要在各种资源(CPU、虚拟机)上高效地调度多个活动。提出了一种利用和谐搜索算法优化云系统多目标调度问题的元启发式方法。根据云用户的期望,吞吐量应该很高,以便在截止日期之前完成大多数用户任务,从而降低任务拒绝率。基于HS的NEW HS调度算法的主要目的是将即将到来的云应用安排在虚拟机上,使任务以最少的时间(执行时间和makespan时间)以较低的执行成本完成,并将云应用的截止日期作为QoS约束。
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Enhancing QoS with Resource Optimization Technique Based on Harmony Search in Cloud Environment
In cloud environment, enhancing QoS is a challenging task to solve the multi objective problems. Effective load balancing and scheduling is a solution to enhance QoS. Job scheduling is a NP complete problem and is difficult to get the best scheduling especially for large number of jobs to enhance QoS. Multiple activities may need to be scheduled efficiently on various resources (CPU, virtual machines) by reducing completion time and maximizing resource utilization. A meta-heuristic method has been proposed for optimizing multi-objective scheduling problems in cloud systems using harmony search algorithm. According to cloud user's expectations, throughput should be high such that most of the user tasks are completed before the deadline expires thereby resulting in a low task rejection rate. Major purpose of the HS-based, NEW HS scheduling algorithm is to arrange upcoming cloud applications at virtual machines in such a way that tasks are completed in least amount of time (execution and makespan time) with low execution cost and take deadline of cloud application as a QoS constraint.
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