使用 IGMP 协议改善云计算的延迟

Jing Zhong
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引用次数: 0

摘要

为了解决云计算的网络延迟问题,企业通常采用边缘计算,即缩短与客户端的物理距离;或者采用并行计算方法,即把任务分给多个云服务器。然而,这两种主要的解决方案并不能有效解决多个客户端访问同一资源所造成的网络延迟问题。本文提出了一种基于互联网组管理协议(IGMP)运行模式的新策略,以解决多客户端访问造成的网络延迟和网络资源浪费问题。本文将使用亚马逊网络服务(AWS)执行比较任务。为显示差异,将对试图从一台云服务器访问云资源的 1000 个客户端进行模拟测试。通过比较 1000 个客户接收资源的总时间,原始组的云服务器处理任务需要 5309 秒。测试组的云服务器处理任务的时间为 5034 秒,提高了约 5.68%。通过研究,结论是如果云资源分区合理,分组策略可以有效缓解多客户端的网络延迟问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using IGMP Protocol to Improve the Latency of Cloud Computing
To solve the problem of network latency of cloud computing, organizations usually use the edge computing, which means shorter physical distance from the client, or the parallel computing method, which means separate the task to multi cloud servers. However, these two major solutions do not effectively solve the problem of network latency caused by multiple clients accessing the same resources. In this paper, a new strategy is proposed based on the operation mode of Internet Group Management Protocol (IGMP) to solve the networks latency and waste of network resources caused by multiple clients’ access. This paper would perform the comparison tasks by using Amazon Web Services (AWS). To show the differences, there would be a simulated test of 1000 clients who are trying to access cloud resources from one cloud server. By comparing the total time of 1000 clients receiving their resources, the original group takes 5309 seconds for the cloud server to process the tasks. The test group takes 5034 seconds for the cloud server to process the tasks, which is about 5.68% improvement. Through the research, the conclusion is that if cloud resources are partition properly, the grouping strategy could effectively alleviate the networks latency problem of multiple clients.
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