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Load balancing based hyper heuristic algorithm for cloud task scheduling
Journal of Ambient Intelligence and Humanized Computing ( IF 3.662 ) Pub Date : 2020-05-24 , DOI: 10.1007/s12652-020-02127-3
Abhishek Gupta , H. S. Bhadauria , Annapurna Singh

The cloud computing environment provides computing assets in a pay-per-use way for IT service providers. Guaranteeing QoS amid job scheduling is a most noticeable need. This paper proposed an algorithm that expects to accomplish all-around adjusted load crosswise over virtual machines for minimizing makespan time. The proposed algorithm provides balanced scheduling solutions by employing the honey bee load balancing and improvement detection operator to conclude which low-level heuristic is to be utilized to search improved candidate solutions. The consequences of the proposed task scheduling algorithm are matched with existing heuristic-based scheduling procedures. The experimental consequences demonstrate that our approach is efficient when it is compared with the existing algorithms.



中文翻译:

基于负载均衡的超启发式云任务调度算法

云计算环境以按使用付费的方式为IT服务提供商提供计算资产。在作业调度中保证QoS是最明显的需求。本文提出了一种算法,该算法期望在虚拟机上交叉完成全方位调整的负载,以最大程度地缩短制造时间。所提出的算法通过利用蜜蜂负载平衡和改进检测算子来提供平衡的调度解决方案,从而得出结论,将使用哪种低级启发式算法来搜索改进的候选解决方案。所提出的任务调度算法的结果与现有的基于启发式的调度程序相匹配。实验结果表明,与现有算法相比,我们的方法是有效的。

更新日期:2020-05-24
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