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The trend towards cloud and utility computing infrastructures raises challenges not only for application development, but also for management: diverse resources, changing resource availability, and differing application requirements create a complex optimization problem. Most existing cloud applications are managed externally, and this separation can lead to increased response time to failures, and slower or less appropriate adaptation to resource availability and pricing changes. In this paper, the authors explore a different approach more akin to P2P systems: they closely couple a decentralized management runtime ("Rhizoma") with the application itself. The application expresses its resource requirements to the runtime as a constrained optimization problem.
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