Issue No. 01 - Jan. (2014 vol. 25)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2013.15
Shaojie Tang , Temple Univ., Philadelphia, PA, USA
Jing Yuan , Dept. of Comput. Sci., Univ. of Illinois, Philadelphia, PA, USA
Cheng Wang , Dept. of Comput. Sci. & Eng., Tongji Univ., Shanghai, China
Xiang-Yang Li , Dept. of Comput. Sci., Illinois Inst. of Technol., Chicago, IL, USA
With the recent introduction of Spot Instances in the Amazon Elastic Compute Cloud (EC2), users can bid for resources and, thus, control the balance of reliability versus monetary costs. Mechanisms and tools that deal with the cost-reliability tradeoffs under this scheme are of great value for users seeking to reduce their costs while maintaining high reliability. In this paper, we propose a set of bidding strategies under several service-level agreement (SLA) constraints. In particular, we aim to minimize the monetary cost and volatility of resource provisioning. Essentially, to derive an optimal bidding strategy, we formulate this problem as a Constrained Markov Decision Process (CMDP). Based on this model, we are able to obtain an optimal randomized bidding strategy through linear programming. Using real Instance price traces and workload models, we compare several adaptive checkpointing schemes in terms of monetary costs and job completion time. We evaluate our model and demonstrate how users should bid optimally on Spot Instances to reach different objectives with desired levels of confidence.
Cloud computing, Resource management, Contracts
Shaojie Tang, Jing Yuan, Cheng Wang and Xiang-Yang Li, "A Framework for Amazon EC2 Bidding Strategy under SLA Constraints," in IEEE Transactions on Parallel & Distributed Systems, vol. 25, no. 1, pp. 2-11, 2013.