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Resource Scheduling and Evaluation of Heuristics with Resource Reservation in Cloud Computing Environment

机译:云计算环境下具有资源预留的启发式资源调度与评估

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The "cloud" is a combination of various hardware and software that work jointly to bring many aspects of computing to the users as an online service. Some uniqueness of Cloud Computing is pay-per-use, elastic capacity, misapprehension of unlimited resources, self-service interface, virtualized resources etc. Various applications running on cloud environment would expect better Quality of Service (QoS) from Cloud environment. Improvement in Quality of Service (QoS) is possible through better job scheduling and reservation of resources in advance for execution of jobs. In this paper effects of Reservation Rate and Time Factor on the performance parameters like Resource Utilization, Waiting Time, Minimum Execution Time and Success Rate of Reserved jobs have been studied for various job scheduling algorithms and their performance have been calculated in resource reservation environment in Cloud.
机译:“云”是各种硬件和软件的组合,它们共同工作以将计算的许多方面作为一种在线服务带给用户。云计算的一些独特之处是按使用量付费,弹性容量,对无限资源的误解,自助服务接口,虚拟化资源等。在云环境中运行的各种应用程序都希望从云环境中获得更好的服务质量(QoS)。通过更好的作业调度和预先预留资源以执行作业,可以提高服务质量(QoS)。本文研究了各种作业调度算法对预留率和时间因子对性能参数如资源利用率,等待时间,最小执行时间和预留率的影响,并在云资源预留环境中计算了它们的性能。 。

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