In this work we present an approach aimed at maximizing the global QoS perceived within a large-scale federation of computing infrastructures. This approach exploits the combina- tion of ( i ) a trust model for a network of software agents, designed to assist federated computing nodes, and ( ii ) a decentralized procedure which leads to the formation of coali- tions between them. The proposed solution is based on a generic SLA-based federated ar- chitecture and the concept of “Global Capital”which reflects the global QoS offered by the federation. Finally, a number of experimental trials prove that, by means of the proposed approach, the Global Capital improves.

Comi, A., Fotia, L., Messina, F., Rosaci, D., Sarne', G. (2016). A partnership-based approach to improve QoS on Federated Computing Infrastructures. INFORMATION SCIENCES, 367-368(1 November 2016), 246-258 [10.1016/j.ins.2016.05.051].

A partnership-based approach to improve QoS on Federated Computing Infrastructures

SARNE' G
2016

Abstract

In this work we present an approach aimed at maximizing the global QoS perceived within a large-scale federation of computing infrastructures. This approach exploits the combina- tion of ( i ) a trust model for a network of software agents, designed to assist federated computing nodes, and ( ii ) a decentralized procedure which leads to the formation of coali- tions between them. The proposed solution is based on a generic SLA-based federated ar- chitecture and the concept of “Global Capital”which reflects the global QoS offered by the federation. Finally, a number of experimental trials prove that, by means of the proposed approach, the Global Capital improves.
Articolo in rivista - Articolo scientifico
Cloud Federations; Multi-Agent Systems; QoS;
English
2016
367-368
1 November 2016
246
258
partially_open
Comi, A., Fotia, L., Messina, F., Rosaci, D., Sarne', G. (2016). A partnership-based approach to improve QoS on Federated Computing Infrastructures. INFORMATION SCIENCES, 367-368(1 November 2016), 246-258 [10.1016/j.ins.2016.05.051].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/299276
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