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Control-theoretical load-balancing for cloud applications with brownout

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Author

  • Jonas Dürango
  • Manfred Dellkrantz
  • Martina Maggio
  • Cristian Klein
  • Alessandro Vittorio Papadopoulos
  • Francisco Hernández-Rodriguez
  • Erik Elmroth
  • Karl-Erik Årzén

Summary, in English

Cloud applications are often subject to unexpected events like flash crowds and hardware failures. Without a predictable behaviour, users may abandon an unresponsive application. This problem has been partially solved on two separate fronts: first, by adding a self-adaptive feature called brownout inside cloud applications to bound response times by modulating user experience, and, second, by introducing replicas -- copies of the applications having the same functionalities -- for redundancy and adding a load-balancer to direct incoming traffic. However, existing load-balancing strategies interfere with brownout self-adaptivity. Load-balancers are often based on response times, that are already controlled by the self-adaptive features of the application, hence they are not a good indicator of how well a replica is performing. In this paper, we present novel load-balancing strategies, specifically designed to support brownout applications. They base their decision not on response time, but on user experience degradation. We implemented our strategies in a self-adaptive application simulator, together with some state-of-the-art

solutions. Results obtained in multiple scenarios show that the proposed strategies bring significant improvements when compared to the state-of-the-art ones.

Publishing year

2014

Language

English

Pages

5320-5327

Publication/Series

2014 IEEE 53rd Annual Conference on Decision and Control (CDC 2014)

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering

Conference name

53rd IEEE Conference on Decision and Control

Conference date

2014-12-15

Conference place

Los Angeles, CA, United States

Status

Published

Project

  • EIT_VR CLOUD Cloud Control

Research group

  • LCCC

ISBN/ISSN/Other

  • ISBN: 978-1-4799-7746-8