TY  - RPRT
M1  - working_paper
ID  - eprints1651
N2  - The increasing diffusion of cloud technologies is opening new opportunities for distributed and collaborative computing. Volunteer clouds are a prominent example, where participants join and leave the platform and collaborate by sharing their computational resources. The high dynamism and unpredictability of such scenarios call for decentralized self-* approaches to guarantee QoS. We present a simulation framework for collaborative task execution in volunteer clouds and propose one concrete instance based on Ant Colony Optimization, which is validated through a set of simulation experiments based on Google workload data.
AV  - public
TI  - A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds
A1  - Sebastio, Stefano
A1  - Amoretti, Michele
A1  - Lluch-Lafuente, Alberto
UR  - http://eprints.imtlucca.it/1651/
Y1  - 2013/08/01/
ER  -