Work place: Department of Computer Engineering, Rajarambapu Institute of Technology, Rajaramnagar, MS, India
Research Interests: Autonomic Computing, Computer Architecture and Organization, Computing Platform, Data Structures and Algorithms
Miss. Jayshree T. Patil received the Bachelor of Engineering in Computer Engineering, from Mumbai University. She has completed M. Tech. in Computer Science and Engineering from Rajarambapu Institute of Technology, Sakharale, Sangli, MS, India. Her area of interest are cloud computing and optimization.
DOI: https://doi.org/10.5815/ijisa.2018.07.06, Pub. Date: 8 Jul. 2018
Primary concern of any cloud provider is to improve resource utilization and minimize cost of service. Different mapping relations among virtual machines and physical machines effect on resource utilization, load balancing and cost for cloud data center. Paper addresses the virtual machine placement as optimization problem with resource constraints on CPU, memory and bandwidth. In experimentations, datasets are formed using random data generator. Paper presents random fit algorithm, best fit algorithm based on resource wastage and an evolutionary algorithm- Differential Evolution. Paper presents results of Differential Evolution algorithm with three different mutation approaches. Results show that Differential Evolution algorithm with DE/best/2 mutation operator works efficient than basic DE, best fit and random fit algorithms.[...] Read more.
Subscribe to receive issue release notifications and newsletters from MECS Press journals