Design of Self-Management Aware Autonomic Resource Scheduling Scheme in Cloud

Abstract

Cloud computing is an emerging technology through which resources can be shared over the internet with different users either free or on a rent basis. Resource scheduling in cloud computing is a challenging area for researchers as is maximum utilization can opt through efficient resource scheduling algorithm. In this environment, incalculability, and expansion of resources meeting the problem of allocation. Other than this, virtual machine provisioning, packaging, and availability guarantee decrease the performance. To avoid this, an efficient resource management technique is required, which will manage the resources effectively, guarantee the availability, and execute the workloads automatically. In this paper, we present an autonomic resource management technique named as SMART (Self-management aware autonomic resource management technique for cloud). SMART offers self-optimization for maximum resource utilization, self-healing to avoid failures on execution, self-protection to stop multiple requests from the user, and self-configuration to make sure the availability of resources. We have implemented and evaluated the performance of SMART in cloudsim 3.0 and the experimental results of proposed work perform better in terms of SAL violation rate, cost, energy consumption, resource utilization and execution time.