云计算中动态工作负载的混合资源扩展

Megersa Daraje, Javed Shaikh
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引用次数: 2

摘要

在云中,有足够数量的各种资源可以根据用户的请求提供给他们。为了提供服务,云资源需要向上和向外扩展。云资源供应使用两种方法。它们是水平和垂直扩展方法。水平扩展方法需要几分钟来配置额外的机器,并且资源利用率更低。但这种方法是可行的。在垂直方法中,请求不是通过添加额外的虚拟机(如Horizontal)来处理的,资源会在一秒钟内添加到已经在执行的设备上。这项工作的目标是开发一种混合方法,通过混合两种扩展方法来提高资源利用率,并提供灵活的资源,通过按垂直、水平方法的顺序执行来满足用户的要求。研究结果表明,与现有方法相比,该方法具有更高的效率。已经使用CloudSim来实现所开发的方法。通过遵循机器的容量和资源阈值来执行缩放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid Resource Scaling for Dynamic Workload in Cloud Computing
In the Cloud, there are enough amount of various resources to be provided for the users according to their request. To provide services the cloud resources need to be scaled up and out. Cloud resource provisioning uses two approaches. They are horizontal and vertical scaling approaches. Horizontal scaling approaches take some minutes to configure additional machines and less utilization of resources. But this approach is available. In the vertical approach, requests are not handled by adding additional virtual machines like Horizontal, resources are added on the already executing devices within a second. The objective of this work is to develop a hybrid approach by hybridizing both scaling approaches to increase utilization of resources and provide flexible resources that can satisfy user’s requests by performing in such order Vertical, horizontal approaches. The results of the study demonstrate that the proposed approach is more efficient in comparison with the existing approach. CloudSim has been used for the implementation of the developed approach. Scaling is performed by following the capacity of the machine and resources threshold value.
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