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引用次数: 1
摘要
近年来，云计算因其成本降低、管理工作量最小等优点，从个人到大企业都变得非常流行。像亚马逊、谷歌这样的云提供商现在提供网络部署、存储、服务器等资源。然而，由于负载和成本的变化，在这些真实的云环境中评估任务调度策略的性能非常具有挑战性。本文使用CloudSim和Amazon Web Services (AWS)和Google Cloud Platform (GCP)的硬件配置，在Web和FTP服务器超时的情况下，研究了最早截止日期优先(EDF)调度策略的性能。此外，还对空间共享和时间共享任务配置策略进行了比较，结果表明，通过在AWS和GCP中使用空间共享策略，可以最大限度地减少平均执行时间。
A performance analysis of a typical server running on a cloud
In recent years, Cloud computing has become very popular from individuals to big enterprises because of the reduced cost, minimal management effort etc. Cloud providers like Amazon, Google are now offering resources for web deployment, storage, servers etc. However, due to the varying load and cost, evaluating the performance of task scheduling policies in these real Cloud environments is very challenging. In this paper, the performance of Earliest Deadline First (EDF) scheduling policy has been investigated using CloudSim and the hardware configuration of Amazon Web Services (AWS) and Google Cloud Platform (GCP) with the time-out of a web and FTP servers. In addition, a comparison between space-shared and time-shared task provisioning policies have been examined which shows that the average execution time can be minimised by using space-shared policy in both AWS and GCP.
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