A Novel Resource Discovery Mechanism using Sine Cosine Optimization Algorithm in Cloud

摘要

Cloud computing, which is internet-based computing share cloud resources such as storage and network on demand. Resource Management plays a crucial role in cloud infrastructure. Management of cloud resources consists of discovering the suitable resources for processing the user request. Millions of users are using cloud resources. To process the request optimally submitted by the user, a novel resource discovery mechanism is required. In our work, sine cosine algorithm (SCA) based clustering is integrated with the resource discovery mechanism. The proposed clustering mechanism is compared with a well known-clustering algorithm called K-means and SCAK-Means. Metrics used for comparing SCAK-Means with K-Means are Intra Cluster similarity, Inter-Cluster similarity, the similarity of cloud resources, and convergence rate. The result shows that the proposed approach is optimal than the existing one for resource discovery.