A Self-Adaptive View on Resource Management in Cloud Data Center
Avneesh Vashistha, Satish Kumar, Pushpneel Verma, Rabins Porwal · 2018
Cloud computing platform provides scalable computing resources in cloud marketplace, where customers have full control to scale-up and down computing resource usage based on their application requirements. The unpredictable nature of users in terms of their presence in cloud service pool and dynamic changes in requirements make cloud environment under uncertainty. In uncertain environment, the allocation of resources in conjunction to parallel optimization of entire cloud data center is one of the key challenging problem faced by cloud service providers. Self-adaptive approach has the potential to deal with the problem of dynamic optimization of resource allocation in cloud data center under uncertain environment with significant self-adaptive features: self-scaling, self-identification of requirements, and self-optimization of resource allocation etc. This paper describes the application of self-adaptive approach for the optimization of resource allocation in cloud data center. Furthermore, this paper presents key scenarios that give a view on emerging challenges in cloud resource management.