TY  - RPRT
ID  - eprints2115
UR  - http://eprints.imtlucca.it/2115/
AV  - public
TI  - A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds
Y1  - 2014/01/23/
N2  - 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.
M1  - working_paper
A1  - Sebastio, Stefano
A1  - Amoretti, Michele
A1  - Lluch-Lafuente, Alberto
ER  -