Resource allocation based on matchmaking services in multiple clouds using trustworthy and scalable service providers algorithm

Abstract

Nowadays, cloud server adoption becomes more popular and highly demanded due to unlimited data contribution and retrieval from anywhere and anytime. Existing methods have lacks of adaptability issues with a trust value calculation based on multi-dimensional cloud service providers. Some, existing methods believed in expert opinion to evaluate the trust factors. However, the techniques have many adaptability issues and trust evaluation results have many errors. To bring the better solution, Trustworthy and Scalable Service Providers Algorithm is proposed for analyzing the design the relationship among the users, the broker, and cloud service providers. The proposed method works for resource allocation based on matchmaking service among multiple clouds. The trust-based proposed method efficiently minimizes the cloud user burden and enhances the system stabilities. Proposed method works based on information entropy theory to evaluate the multi-attribute based decision-making. Here, cloud user efficiently can find trustable cloud service providers in advance. Where, cloud service providers are more dependent on cloud users. Based on the excremental results, the proposed method reduces the System execution time 2 milliseconds; communication cost 9.33 % and improves the 39.33 % Trust score compare than existing methodologies in multiple cloud environments.