Open AccessOptimal Virtual Machines Placement in Cloud Computing Environment
Author(s) -
N M G Kumar,
Mayank Awasthi,
Surendra Kumar
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d1413.029420
Subject(s) - cloud computing , computer science , virtual machine , distributed computing , virtualization , point (geometry) , ranking (information retrieval) , fuzzy logic , set (abstract data type) , event (particle physics) , operating system , artificial intelligence , mathematics , physics , geometry , quantum mechanics , programming language
In the cloud computing frameworks, when utilizing virtualization technology, the client's mentioned information data or storing away assistance is obliged by a lot of imparted virtual machines (VM) in a scale and flexible way. These VMs are put in at least one server point as per the point stores capacities or probabilities. The VM arrangement accessibility refers to the probability that in any event one lot of all client's mentioned VMs works during the requested. In this research paper we proposed an algorithm for better VM placement load balancing. Allocation is made based on the Assignment Problems arrangement strategy idea, which is planned for cloud computing. Assignment issues whose decision making parameters are summed up numbers as triangular fuzzy set as well as Centroid Ranking Technique is used for ranking the dataset. The linguistic variables are used to change the subjective information into quantitative information. Another positioning strategy is proposed to defuzzify the fuzzy numbers, trailed by Hungarian system for ideal cost and time. A numerical model is proposed methodology for better assignment of VM in the physical machine for cloud computing environment.