Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters

TLDR

Naïve scheduling strategies can significantly increase costs when using IaaS resources. The study investigates how augmenting local clusters with cloud resources can balance performance and cost through six scheduling strategies. The authors evaluate the cost of six scheduling strategies that deploy additional virtual machines from a remote IaaS provider when local resources are insufficient, aiming to reduce user request response times.

Abstract

In this paper, we investigate the benefits that organisations can reap by using "Cloud Computing" providers to augment the computing capacity of their local infrastructure. We evaluate the cost of six scheduling strategies used by an organisation that operates a cluster managed by virtual machine technology and seeks to utilise resources from a remote Infrastructure as a Service (IaaS) provider to reduce the response time of its user requests. Requests for virtual machines are submitted to the organisation's cluster, but additional virtual machines are instantiated in the remote provider and added to the local cluster when there are insufficient resources to serve the users' requests. Naïve scheduling strategies can have a great impact on the amount paid by the organisation for using the remote resources, potentially increasing the overall cost with the use of IaaS. Therefore, in this work we investigate six scheduling strategies that consider the use of resources from the "Cloud", to understand how these strategies achieve a balance between performance and usage cost, and how much they improve the requests' response times.