Self-management Challenges for Multi-cloud Architectures

(Invited Paper)
  • Erik Elmroth
  • Johan Tordsson
  • Francisco Hernández
  • Ahmed Ali-Eldin
  • Petter Svärd
  • Mina Sedaghat
  • Wubin Li
Conference paper

DOI: 10.1007/978-3-642-24755-2_4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6994)
Cite this paper as:
Elmroth E. et al. (2011) Self-management Challenges for Multi-cloud Architectures. In: Abramowicz W., Llorente I.M., Surridge M., Zisman A., Vayssière J. (eds) Towards a Service-Based Internet. ServiceWave 2011. Lecture Notes in Computer Science, vol 6994. Springer, Berlin, Heidelberg

Abstract

Addressing the management challenges for a multitude of distributed cloud architectures, we focus on the three complementary cloud management problems of predictive elasticity, admission control, and placement (or scheduling) of virtual machines. As these problems are intrinsically intertwined we also propose an approach to optimize the overall system behavior by policy-tuning for the tools handling each of them. Moreover, in order to facilitate the execution of some of the management decisions, we also propose new algorithms for live migration of virtual machines with very high workload and/or over low-bandwidth networks, using techniques such as caching, compression, and prioritization of memory pages.

Keywords

Autonomous cloud management proactive elasticity control admission control cloud governance scheduling placement live virtual machine migration 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Erik Elmroth
    • 1
  • Johan Tordsson
    • 1
  • Francisco Hernández
    • 1
  • Ahmed Ali-Eldin
    • 1
  • Petter Svärd
    • 1
  • Mina Sedaghat
    • 1
  • Wubin Li
    • 1
  1. 1.Department of Computing ScienceUmeå UniversityUmeåSweden

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