Modelling resource virtualisation concept in cloud computing environment using finite state machines
by Gopal Kirshna Shyam; Sunilkumar S. Manvi
International Journal of Cloud Computing (IJCC), Vol. 4, No. 3, 2015

Abstract: Resource virtualisation can enhance resource availability to the offered services in cloud computing. Modelling of virtualised resources for dynamically changing workload is an important problem to be tackled, so as to design and develop resource management algorithms. This paper presents modelling of resource virtualisation concept for cloud computing scenarios based on the formalism of finite state machines (FSMs). The resources considered in our model are processors and primary memory; however, the model can also be applied to other resources like storage and network devices. The basis for description of model behaviour is communicating extended FSMs that are represented by systems, blocks and processes. The proposed model is used to analyse the impact of loads on virtualisation in cloud computing by using Cindrella SDL tool. It is observed that resources are allocated depending on the availability without any deadlocks and terminations. The model can serve as the foundation for development of resource allocation, resource brokering, resource security, resource provisioning, and resource adaptation protocols in cloud computing.

Online publication date: Wed, 16-Sep-2015

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 Cloud Computing (IJCC):
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