relation: http://eprints.imtlucca.it/2126/
title: A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds
creator: Sebastio, Stefano
creator: Amoretti, Michele
creator: Lluch-Lafuente, Alberto
subject: QA75 Electronic computers. Computer science
description: 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.
date: 2014-01-23
type: Working Paper
type: NonPeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/2126/21/seams2014-full.pdf
identifier:   Sebastio, Stefano and Amoretti, Michele and Lluch-Lafuente, Alberto  A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds.  Working Paper  # /2014        (Submitted)