Impact of Variable Priced Cloud Resources on Scientific Workflow Scheduling

  • Simon Ostermann
  • Radu Prodan
Conference paper

DOI: 10.1007/978-3-642-32820-6_35

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7484)
Cite this paper as:
Ostermann S., Prodan R. (2012) Impact of Variable Priced Cloud Resources on Scientific Workflow Scheduling. In: Kaklamanis C., Papatheodorou T., Spirakis P.G. (eds) Euro-Par 2012 Parallel Processing. Euro-Par 2012. Lecture Notes in Computer Science, vol 7484. Springer, Berlin, Heidelberg

Abstract

We analyze the problem of provisioning Cloud instances to large scientific workflows that do not benefit from sufficient Grid resources as required by their computational requirements. We propose an extension to the dynamic critical path scheduling algorithm to deal with the general resource leasing model encountered in today’s commercial Clouds. We analyze the availability of the cheaper and unreliable Spot instances and study their potential to complement the unavailability of Grid resources for large workflow executions. Experimental results demonstrate that Spot instances represent a 60% cheaper but equally reliable alternative to Standard instances provided that a correct user bet is made.

Keywords

Cloud computing Grid computing Spot instances Scheduling Scientific workflows Performance Cost 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Simon Ostermann
    • 1
  • Radu Prodan
    • 1
  1. 1.Institute of Computer ScienceUniversity of InnsbruckInnsbruckAustria

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