Evaluation and Enhancement of the EdgeCloudSim using Poisson Interarrival time and Load capacity

Toqa' Abu Zaitoun, M. Issa, Sajeda Banat, W. Mardini
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引用次数: 4

Abstract

Edge Computing comprises a set of computing ideas such as Fog Computing, Mobile Edge Computing (MEC) and Cloudlets. Technically Edge computing is more efficient and advanced when examined it versus the basic Cloud Computing and clear Mobile Computing. Edge Computing is applying for processing data on the edge of the network, and it solves several difficulties and challenges in networks like battery life limitation, bandwidth cost preservation and requirements for the response time. In this paper, we proposed a new enhancement into the EdgeCloudSim by using the Poisson Interarrival on the task and Evaluation the performance through loading capacity. In our enhancement we observed the number of failed tasks and network delay start to decrease from the previous study when the number of devices equals 750 and the best result achieved when the architecture is two-tier with EO.
基于泊松到达间隔时间和负载容量的EdgeCloudSim评估与改进
边缘计算包括一组计算思想,如雾计算、移动边缘计算(MEC)和Cloudlets。与基本的云计算和移动计算相比,边缘计算在技术上更高效、更先进。边缘计算应用于网络边缘的数据处理,解决了网络中电池寿命限制、带宽成本节约和响应时间要求等难题和挑战。在本文中,我们提出了一种新的增强EdgeCloudSim的方法,即在任务上使用泊松间隔到达,并通过负载容量评估其性能。在我们的增强中,我们观察到当设备数量等于750时,失败任务的数量和网络延迟开始比之前的研究减少,并且当体系结构是双层的EO时取得了最好的结果。
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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