RADAR: Self-configuring and self-healing in resource management for enhancing quality of cloud services

摘要

Cloud computing utilizes heterogeneous resources that are located in various datacenters toprovide an efficient performance on a pay-per-use basis. However, existing mechanisms, frameworks,and techniques for management of resources are inadequate to manage these applications,environments, and the behavior of resources. There is a requirement of a Quality ofService (QoS) based autonomic resource management technique to execute workloads anddeliver cost-efficient and reliable cloud services automatically. In this paper, we present an intelligentand autonomic resource management technique named RADAR. RADAR focuses on twoproperties of self-management: firstly, self-healing that handles unexpected failures and, secondly,self-configuration of resources and applications. The performance of RADAR is evaluatedin the cloud simulation environment and the experimental results show thatRADAR delivers betteroutcomes in terms of execution cost, resource contention, execution time, and SLA violationwhile it delivers reliable services.