Reliable Provisioning of Spot Instances for Compute-intensive Applications
AuthorVoorsluys, W; Buyya, R
EditorBarolli, L; Enokido, T; Xhafa, F; Takizawa, M
Source TitleProceedings - International Conference on Advanced Information Networking and Applications, AINA
AffiliationComputing And Information Systems
Document TypeConference Paper
CitationsVoorsluys, W. & Buyya, R. (2012). Reliable Provisioning of Spot Instances for Compute-intensive Applications. Barolli, L (Ed.) Enokido, T (Ed.) Xhafa, F (Ed.) Takizawa, M (Ed.) 2012 IEEE 26TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA), 1, pp.542-549. IEEE. https://doi.org/10.1109/AINA.2012.106.
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F1 - Full Written Papers Refereed
Cloud computing providers are now offering their unused resources for leasing in the spot market, which has been considered the first step towards a full-fledged market economy for computational resources. Spot instances are virtual machines (VMs) available at lower prices than their standard on-demand counterparts. These VMs will run for as long as the current price is lower than the maximum bid price users are willing to pay per hour. Spot instances have been increasingly used for executing compute-intensive applications. In spite of an apparent economical advantage, due to an intermittent nature of biddable resources, application execution times may be prolonged or they may not finish at all. This paper proposes a resource allocation strategy that addresses the problem of running compute-intensive jobs on a pool of intermittent virtual machines, while also aiming to run applications in a fast and economical way. To mitigate potential unavailability periods, a multifaceted fault-aware resource provisioning policy is proposed. Our solution employs price and runtime estimation mechanisms, as well as three fault tolerance techniques, namely checkpointing, task duplication and migration. We evaluate our strategies using trace-driven simulations, which take as input real price variation traces, as well as an application trace from the Parallel Workload Archive. Our results demonstrate the effectiveness of executing applications on spot instances, respecting QoS constraints, despite occasional failures.
KeywordsDistributed and Grid Systems; Application Tools and System Utilities; Internet Hosting Services (incl. Application Hosting Services)
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