Smart Scheduling in Cloudlet Federation

Sherrjel Asim, Muhammad Ziad Nayyer, Usama Ahmed, Muhammad Faheem
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Abstract

Rapidly increasing data requires a lot of time to execute different tasks by the systems at Cloudlet Federation (CF). The demand of today’s computing is to exploit resource utilization up to maximum. Efficient resource allocation and scheduling of tasks are the significant characteristics of Cloudlet Federation (CF). Different tasks have diverse execution time. Some tasks require greater execution time whereas some need just a couple of seconds for their execution. Scheduling offers a feasible solution for handling these tasks with the help of different scheduling algorithms. To address task scheduling issue, this paper proposes a scheduling technique named Least Busy Time Scheduling (LBTS) for smart scheduling of tasks in Cloudlet Federation (CF). The proposed technique assists the scheduler to assign task to a system considering the parameter of least busy time to reduce waiting time and optimize the overall performance of the system.
Cloudlet Federation中的智能调度
快速增长的数据需要大量的时间来执行Cloudlet Federation (CF)系统的不同任务。最大限度地利用资源是当今计算的要求。高效的资源分配和任务调度是Cloudlet Federation (CF)的重要特点。不同任务的执行时间不同。有些任务需要更长的执行时间,而有些任务只需要几秒钟的执行时间。调度在不同调度算法的帮助下为处理这些任务提供了可行的解决方案。为了解决任务调度问题,本文提出了一种基于最小繁忙时间调度(Least Busy Time scheduling, LBTS)的调度技术,用于Cloudlet Federation (CF)中的任务智能调度。该技术帮助调度程序根据最不繁忙时间参数为系统分配任务,以减少等待时间,优化系统的整体性能。
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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