eprintid: 1648
rev_number: 8
eprint_status: archive
userid: 30
dir: disk0/00/00/16/48
datestamp: 2013-07-26 13:33:22
lastmod: 2013-07-26 13:33:22
status_changed: 2013-07-26 13:33:22
type: monograph
metadata_visibility: no_search
creators_name: Sebastio, Stefano
creators_name: Amoretti, Michele
creators_name: Lluch-Lafuente, Alberto
creators_id: stefano.sebastio@imtlucca.it
creators_id: 
creators_id: alberto.lluch@imtlucca.it
title: A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds
ispublished: unpub
subjects: QA75
divisions: CSA
full_text_status: public
monograph_type: working_paper
abstract: 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.
date: 2013-07-26
date_type: published
institution: IMT Institute for Advanced Studies Lucca
citation:   Sebastio, Stefano and Amoretti, Michele and Lluch-Lafuente, Alberto  A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds.  Working Paper       (Unpublished)   
document_url: http://eprints.imtlucca.it/1648/1/ucc2013.pdf