Abstract
With the recent advent of Cloud Computing, the vision of computing as a utility has reached new heights. Resource prices can now change dynamically based on current demand and supply. In December 2009, Amazon released Spot Instances, which sell the spare capacity of their data centers. This spare capacity is sold using an auction-like bidding system. Instances are allocated or terminated depending on whether the current instance price is above or below the user’s bid price. While pricing and reliability can vary dramatically and dynamically, current middleware have few mechanisms that deal with the cost-reliability trade-offs effectively. Also the failure rates are highly depending on the number of bids, the degree of bid, and the number of available resources. In this paper, we present how checkpointing can be used to reduce the cost and volatility of resource provisioning. Based on the real, recent price history of the spot instances we show the performance of the checkpointing schemes including the proposed one in terms of monetary cost and completion time of tasks.
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© 2011 Springer-Verlag Berlin Heidelberg
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Yi, S., Kondo, D. (2011). How Checkpointing Can Reduce Cost of Using Clouds?. In: Han, MW., Lee, J. (eds) EKC 2010. Springer Proceedings in Physics, vol 138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17913-6_11
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DOI: https://doi.org/10.1007/978-3-642-17913-6_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17912-9
Online ISBN: 978-3-642-17913-6
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