A Dynamic SLA Aware Heuristic Solution For IaaS Cloud Placement Problem Without Migration
Mahyar Amini, Nazli Sadat Safavi · SSRN Electronic Journal · 2014
The Virtual Machine (VM) placement problem in IaaS cloud computing is well studied in the literature. However the majority of the existing works ignore the dynamic nature of the incoming stream of VM deployment requests from cloud customers that continuously arrive to the cloud provider infrastructure and use migration.In this paper, we provide an efficient method for placement management in an IaaS cloud which is under a stream of requests and present a novel technique called Adaptive Random that projects the past demand behaviour of a VM to a candidate target host without doing any migration. The result shows that the suggested method does an efficient placement with a low demand dissatisfaction which can be stated in SLA.