Abstract
In this paper, some basic considerations are made about cost-effective checkpointing in a cloud-like environment. We deduce a cost model of a task considering expected costs of computational and storage resources and time-to-solution costs. With the simple analytic expression, we calculate efficient checkpoint intervals relying on cost parameters, taken from real-world computational clouds. Results demonstrate reasonability of the model proposed and we discuss its potential implications in a high-performance computing environment.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Amazon Elastic Compute Cloud, http://aws.amazon.com/ec2/
Young, J.W.: A first order approximation to the optimum checkpoint interval. Commun. ACM 17, 530–531 (1974)
Daly, J.T.: A Higher Order Estimate of the Optimum Checkpoint Interval for Restart Dumps. In: Future Generation Computer Systems, pp. 303–312 (2006)
Wolter, K.: Stochastic Models for Fault Tolerance: Restart, Rejuvenation and Checkpointing. Springer, Heidelberg (June 8, 2010)
Lewis, J.: Cost-Based Oracle Fundamentals (Expert’s Voice in Oracle). Apress, USA (2005)
Current Minimum Wage, Federal & State Minimum Wage Rates, Laws, and Resources (2011), http://www.minimum-wage.org/history.asp
Abramov, S.M., Esin, G.I., Matveev, G.A., Roganov, V.A., Zagorovsky, I.M.: Principles of organization of the failure tolerance parallel computations for the computational and control tasks in the T-system with the open architecture (OpenTS). In: PSTA 2006, Pereslavl-Zalessky (2006) (in Russian)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tyutlyaeva, E., Moskovsky, A. (2011). An Initial Approximation to the Resource-Optimal Checkpoint Interval. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2011. Lecture Notes in Computer Science, vol 6873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23178-0_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-23178-0_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23177-3
Online ISBN: 978-3-642-23178-0
eBook Packages: Computer ScienceComputer Science (R0)