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A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds

Sebastio, Stefano and Amoretti, Michele and Lluch-Lafuente, Alberto A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds. Working Paper # /2014 (Submitted)

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Abstract

The increasing diffusion of cloud technologies offers new opportunities for distributed and collaborative computing. Volunteer clouds are a prominent example, where participants join and leave the platform and collaborate by sharing computational resources. The high complexity, dynamism and unpredictability of such scenarios call for decentralized self-* approaches. We present in this paper a framework for the design and evaluation of self-adaptive collaborative task execution strategies in volunteer clouds. As a byproduct, we propose a novel strategy based on the Ant Colony Optimization paradigm, that we validate through simulation-based statistical analysis over Google workload data.

Item Type: Working Paper (Working Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Users 30 not found.
Date Deposited: 24 Jan 2014 09:30
Last Modified: 24 Jan 2014 13:30
URI: http://eprints.imtlucca.it/id/eprint/2115

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