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Arrival based deadline aware job scheduling algorithm in cloud

机译:云中基于到达的期限感知作业调度算法

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This study designed a scheduling algorithm for Cloud Computing Environment by taking values of different parameters from a file provided by a user which gives the details of different cloudlets to be made. The cloudlets are assigned to different hosts according to the Shortest Deadline First combined with First Come First Serve where the Cloudlets are being submitted at different arrival times. The deadline provided by user is used to determine whether the Cloudlet is able to finish execution in the prescribed time interval or not. This implementation increased the number of jobs that finished executing in a particular time interval, thereby minimising the number of cloudlets that missed the deadline as compared to the DataCenter Broker scheduler which implements First Come First Serve. The characteristics remained fixed whether its for DataCenter Broker Scheduler or the Arrival based Deadline First Scheduler except the number of Cloudlets were increased gradually and the results were compared. The results show that the First Come First Serve Scheduler misses more Cloudlets from deadline as compared to ADSF Scheduler. All the cloudlets arrived at different time and were scheduled and submitted according to that time and not simultaneously which resulted in more efficient results. The results show that the Total De-layed Cloudlets have a huge difference for both the algorithms. Although, the waiting time is some what same.
机译:本研究通过从用户提供的文件中获取不同参数的值来设计用于云计算环境的调度算法,该文件提供了要制作的不同cloudlet的详细信息。根据最短截止时间优先和先到先服务的原则,将小云分配给不同的主机,在该服务中,小云将在不同的到达时间提交。用户提供的截止日期用于确定Cloudlet是否能够在规定的时间间隔内完成执行。与实现“先来先服务”的DataCenter Broker调度程序相比,此实现增加了在特定时间间隔内完成执行的作业的数量,从而将错过最后期限的cloudlet的数量减至最少。无论是针对DataCenter Broker Scheduler还是基于Arrival的Deadline First Scheduler,其特征均保持不变,只是逐渐增加了Cloudlets的数量并比较了结果。结果表明,与ADSF Scheduler相比,“先到先得”服务调度程序从截止日期起遗漏了更多Cloudlets。所有小云在不同的时间到达,并根据该时间进行调度和提交,而不是同时进行,从而提高了结果的效率。结果表明,Total Delayed Cloudlets对两种算法都有很大的不同。虽然,等待时间有些相同。

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