Multi-Criteria Service Selection Agent for Federated Cloud

Federated cloud interconnects small and medium-sized service providers for enhancement to meet demand spikes. The bartering technique in the federated enables exchange their services. Selecting an optimal provider share services is challenging federation. Agent-based Reciprocal Resource Fairness (RRF) based models are used selection. agent-based model selects best using Quality of Service (quality service). RRF chooses fair on providers' previous contribution However, mentioned above fail address free rider poor performer problems during selection process. To solve issue, we propose a Multi-criteria Selection (MCSS) algorithm effectively selecting quality service, Performance-Cost Ratio (PCR), RRF. Comprehensive case studies conducted prove effectiveness proposed algorithm. Extensive simulation experiments compare performance with existing evaluation results demonstrated that MCSS provides 10% more efficiency than Cloud Bartering System (CRBS) 16% RPF.