@techreport{eprints2115,
           title = {A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds},
            type = {Working Paper},
          author = {Stefano Sebastio and Michele Amoretti and Alberto Lluch-Lafuente},
            year = {2014},
           month = {January},
     institution = {IMT Institute for Advanced Studies Lucca},
             url = {http://eprints.imtlucca.it/2115/},
        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.}
}