Self-management challenges for multi-cloud architectures

Authors:
Erik Elmroth;Johan Tordsson;Francisco Hernández;Ahmed Ali-Eldin;Petter Svärd;Mina Sedaghat;Wubin Li
Affiliations:
Department of Computing Science, Umeå University, Umeå, Sweden;Department of Computing Science, Umeå University, Umeå, Sweden;Department of Computing Science, Umeå University, Umeå, Sweden;Department of Computing Science, Umeå University, Umeå, Sweden;Department of Computing Science, Umeå University, Umeå, Sweden;Department of Computing Science, Umeå University, Umeå, Sweden;Department of Computing Science, Umeå University, Umeå, Sweden
Venue:
ServiceWave'11 Proceedings of the 4th European conference on Towards a service-based internet
Year:
2011

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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.