Sebastio, Stefano and Amoretti, Michele and Lluch-Lafuente, Alberto A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds. Working Paper (Submitted)
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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.
Item Type: | Working Paper (Working Paper) |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Research Area: | Computer Science and Applications |
Depositing User: | Users 30 not found. |
Date Deposited: | 02 Aug 2013 12:09 |
Last Modified: | 02 Aug 2013 12:09 |
URI: | http://eprints.imtlucca.it/id/eprint/1651 |
Available Versions of this Item
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A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds. (deposited 26 Jul 2013 13:33)
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A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds. (deposited 01 Aug 2013 07:11)
- A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds. (deposited 02 Aug 2013 12:09) [Currently Displayed]
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A Computational Field Framework for Collaborative Task Execution in Volunteer Clouds. (deposited 01 Aug 2013 07:11)
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