High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Aggregation of Resources using HABA Algorithm for Efficient Service Provisioning in the Cloud Environment

Author(s):

P.Durgadevi , R.M.K College of Engineering and Technology; M.Swarnalatha, R.M.K College of Engineering and Technology; M.Sridhar, GAVS INFOTECH; T.Chindrella Priyadharshini, R.M.K College of Engineering and Technology

Keywords:

Clusters, Virtualization, Agglomerative, Dendogram, Heuristics

Abstract

Cloud computing is that the outstanding technology that imparts computing resources as a service. In cloud, procedure resources area unit set in terms of Virtual Machines (VMs) and/or Virtual Clusters (VCs) that is outlined as a conglomeration of VM instances providing same service, front-ended by a network load balancer . During this surroundings, varicoloured cloud users will demand variety of cloud services contemporaneously. Service provisioning ought to be performed in an exceedingly deft and refined manner, in order that all the resources area unit created possible for a user to request in Associate in Nursing decisive manner to assuage their wants. In this paper , Hierarichal agglomerate bunch algorithm(HABA) for bunch of resources supported its attributes patterns that created simple of allocating resources to requesting users supported their demands. in and of itself, this bunch algorithmic rule include 2 steps. In opening, build a tree-based ranked taxonomy mistreatment info entropy of resource attributes. Second step, clusters area unit obtained by cutting the dendogram at a desired level. every connected part forms a cluster. . The planned algorithmic rule is evaluated with applied math heuristics mistreatment CloudSim. Experimental results and comparison with HAC algorithmic rule shows that the planned work furnish a typical resolution for the matter of sharing the resources in cloud surroundings

Other Details

Paper ID: IJSRDV3I31022
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 1790-1793

Article Preview

Download Article