eprintid: 2115
rev_number: 12
eprint_status: archive
userid: 30
dir: disk0/00/00/21/15
datestamp: 2014-01-24 09:30:41
lastmod: 2014-01-24 13:30:07
status_changed: 2014-01-24 09:30:41
type: monograph
succeeds: 1651
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: submitted
subjects: QA75
divisions: CSA
full_text_status: public
monograph_type: working_paper
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.
date: 2014-01-23
date_type: submitted
number:  
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  # /2014        (Submitted)   
document_url: http://eprints.imtlucca.it/2115/16/seams2014-full.pdf