| Abstract: |
| The aim of this talk is to present a novel equilibrium model based on trust and reputation mechanisms for the analysis of cloud data centers, namely physical or virtual infrastructures providing computing resources and services. In this framework, servers mutually evaluate each other with the objective of maximizing a performance measure defined as the difference between benefits and costs, expressed in terms of reputation.
The reputation of each server is modeled as a weighted aggregation of the trust values it receives, where the weights depend on the distances among servers. A variational approach is adopted to characterize the equilibrium configuration of the system from the user perspective, and theoretical results on existence and uniqueness are discussed.
Finally, numerical simulations are presented to illustrate and validate the model, together with a sensitivity analysis highlighting the impact of initial reputation levels and distance parameters on the resulting equilibrium. |
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