用于云环境的支持服务质量的分布式负载平衡方法

Int. J. Pervasive Comput. Commun. Pub Date : 2022-02-15 DOI:10.1108/ijpcc-02-2021-0038

Minakshi Sharma, Rajneesh Kumar, Anurag Jain

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引用次数: 1

摘要

目的在云环境对虚拟化资源需求较大的情况下，通过高效的任务调度，平衡系统负载，达到预期的性能要求。设计/方法/方法这是一种在云环境中用于负载平衡的任务调度方法。在这种环境下，任务调度是通过考虑一些参数和约束，在合适的资源上执行任务，以达到性能要求。所提出的机制是先前提出的启用工作服务质量(QoS)的加入最小负载队列(JMLQ)的扩展(Sharma等人，2019)。所提出的方法已经在CloudSim模拟器中进行了测试，结果表明，与支持qos的JMLQ及其在云环境中的其他变体相比，所提出的方法获得了更好的结果。创意/ value90%

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A distributed quality of service-enabled load balancing approach for cloud environment

Purpose During high demand for the virtualized resources in cloud environment, efficient task scheduling achieves the desired performance criteria by balancing the load in the system. Design/methodology/approach It is a task scheduling approach used for load balancing in cloud environment. Task scheduling in such an environment is used for the task execution on a suitable resource by considering some parameters and constraints to achieve performance. Findings The presented mechanism is an extension of the previous proposed work quality of service (QoS)-enabled join minimum loaded queue (JMLQ) (Sharma et al., 2019c). The proposed approach has been tested in the CloudSim simulator, and the results show that the proposed approach achieves better results in comparison to QoS-enabled JMLQ and its other variants in the cloud environment. Originality/value 90%

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Int. J. Pervasive Comput. Commun.

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