TY - JOUR
AU1 - Nutipalli, Preeti
AU2 - Das, P. K.
AB - Cloud computing provides diversity of services as a platform, software and infrastructure in distributed environment. With its massive usage, clients are requesting for more administration and better outcomes on demand basis which requires cutting edge task schedulers for scheduling of tasks among virtual machines in data center. In spite of the many past explorations directed in the Cloud Computing field, a few difficulties still exist associated with balancing load in cloud-based applications and exclusively in the Infrastructure as service (IaaS) cloud model. Load balancing came into picture to optimally achieve the goal by balancing load among virtual machines and achieve fair utilization of resources using Meta Heuristic algorithms. In this paper, dynamic load balancing has been taken care among virtual machines using hybridization of Harris Hawks optimization with sine cosine algorithm (IHHOSCA) and evaluates fitness function to obtain optimal VM for balancing load in cloud network. The proposed algorithm is carried out using CloudSim 3.0.3 simulator for evaluating performance and efficacy of the system. The results proven to show better performance in means of Makespan, Resource utilization, Migration time, Power consumption, and CPU load on compared with many existing heuristic algorithms.
TI - Efficient Dynamic Load Balancing in Cloud Network
JF - SN Computer Science
DO - 10.1007/s42979-023-02015-5
DA - 2023-08-03
UR - https://www.deepdyve.com/lp/springer-journals/efficient-dynamic-load-balancing-in-cloud-network-QS8TichShO
VL - 4
IS - 5
DP - DeepDyve
ER -