[DAB18] Energy-Efficient Algorithm for Load Balancing and VMs Reassignment in Data
Centers
Conférence Internationale avec comité de lecture :
The IEEE 6th International Conference on Future Internet of Things and Cloud Workshops,
August 2018,
pp.225-230,
Barcelona,
Spain,
Mots clés: Cloud Data Centers, Consolidation, Energy, Load
Balancing, Migration, Optimization
Résumé:
Nowadays, cloud computing is an effective solution
for providing computing services to consumers. However,
data centers that host computing resources are still faced with a
misuse of resources and a workload imbalance of servers, where
some servers become overloaded while others are underloaded
or even idle. This results in performance degradation and
resource wastage. The load balancing is a key aspect and has
an important role in the management of cloud data centers.
It allows an optimal use of the resources and improves the
desired Quality of Service (QoS) using optimal methods for
allocating resources and distributing workload.
In this paper, we propose a load-balancing algorithm that
is based on a new parameter called the balance factor of the
data center, introduced here, to determine if a data center
is imbalanced or not, in order to redistribute the workload
equally over all the hosts. To minimize the energy consumption
of the data center, our strategy relies on the live migration of
virtual machines (VMs) while using a mathematical model. The
simulation results, using the CloudSim toolkit, have shown that
the energy efficiency can be managed by reassigning VMs to
the data-center hosts.