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Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom

  • Carlos Cardonha
  • Marcos D. Assunção
  • Marco A. S. Netto
  • Renato L. F. Cunha
  • Carlos Queiroz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8274)

Abstract

Scheduling of service requests in Cloud computing has traditionally focused on the reduction of pre-service wait, generally termed as waiting time. Under certain conditions such as peak load, however, it is not always possible to give reasonable response times to all users. This work explores the fact that different users may have their own levels of tolerance or patience with response delays. We introduce scheduling strategies that produce better assignment plans by prioritising requests from users who expect to receive results earlier and by postponing servicing jobs from those who are more tolerant to response delays. Our analytical results show that the behaviour of users’ patience plays a key role in the evaluation of scheduling techniques, and our computational evaluation demonstrates that, under peak load, the new algorithms typically provide better user experience than the traditional FIFO strategy.

Keywords

Cloud Computing Cloud Service Peak Load Schedule Strategy Patience Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Carlos Cardonha
    • 1
  • Marcos D. Assunção
    • 1
  • Marco A. S. Netto
    • 1
  • Renato L. F. Cunha
    • 1
  • Carlos Queiroz
    • 2
  1. 1.IBM ResearchBrazil
  2. 2.IBM ResearchAustralia

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