Implementing cooperative bacterial foraging optimisation algorithm based resources and VM management in IaaS cloud
by S.K. Karthikumar; P. Chitra
International Journal of Knowledge Management Studies (IJKMS), Vol. 10, No. 1, 2019

Abstract: In cloud computing, Infrastructure as a Service (IaaS) placed a crucial role for providing the enormous services to the user based on the demands. The infrastructure provides the components such as server, networking hardware, storage, visualisation for making the system power effective. Even though the IaaS provides various resources, it has still issues such as cost expensive, responsible for backup, VM management is fully depends on the customer, makespan for resource provisioning in scientific workflow and no control of VM location. Among the various issues, cost and makespan is one of the major issues which lead to reduce the entire resource allocation process. So, in this paper introduces the cooperative bacterial foraging optimisation algorithm (CBFOA) for optimising the resource allocation activities while user requesting various scientific application in the infrastructure resources in cloud. Initially, the BFO method allocates the resources according to the bacterial function such as chemotaxis, swarming, reproduction, elimination and dispersal process which examines the user request according to the animal food searching process. During the resource searching process, the search space has been determined with the help of hybrid search space optimisation algorithm which handle the decision depending on the search space. This scientific workflow application process is worked continuously for allocating the resources and manages the virtual resources in IaaS in cloud environment successfully. In addition to this, user requested workload has been traced by using cybershake workload trace, which is used to examine the resource provisioning activities and trace the status of the particular task with effective manner. Then the excellence of the system has been implemented with the help of cloudsim tool and the efficiency is examined in terms of experimental results and discussions.

Online publication date: Fri, 21-Dec-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge Management Studies (IJKMS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com