New Six-Phase On-line Resource Management
Process for Energy and SLA Efficient
Consolidation in Cloud Data Centers
Ehsan Arianyan, Hassan Taheri, Saeed Sharifian, and Mohsen Tarighi
Department
of Electrical & Electronics Engineering, Amirkabir University of
Technology, Iran
Abstract: The rapid growth in demand for getting various
services combined with dynamic and diverse nature of requests initiated in
cloud environments have led to the establishment of huge data centers which
consume a vast amount of energy. On the other hand, in order to attract more
users in dynamic business cloud environments, providers have to provide high
quality of service for their customers based on defined Service Level Agreement
(SLA) contracts. Hence, in order to maximize their revenue, resource providers
need to minimize both energy consumptions and SLA violations simultaneously. This study proposes a new
six-phase procedure for on-line resource management process. More precisely,
this study proposes addition of two new phases to the default on-line resource
management process including VM sorting phase and condition evaluation phase. Moreover, this paper shows the deficiencies
of present resource management methods which fail to consider all effective
system parameters as well as their importance, and do not have load prediction
models. The results of simulations using cloudSim simulator validates the
applicability of our proposed algorithms in reducing energy consumption as well
as decreasing SLA violations and number of VMs' migration in cloud data centers.
Keywords: Cloud computing, virtual machine, energy consumption, migration,
cloudSim.