A semantic framework to support resource discovery in future cloud markets
by Giuseppe Di Modica; Orazio Tomarchio
International Journal of Computational Science and Engineering (IJCSE), Vol. 10, No. 1/2, 2015

Abstract: The market of cloud resources is currently dominated by proprietary solutions for what concerns resource delivering, pricing models and service level agreements. In the future cloud markets, when cloud standards will get mature and full interoperability among cloud systems will be a reality, the competition challenge among providers will be played on the capability of supplying high and differentiated QoS levels. In this new scenario advanced and flexible mechanisms to support the matchmaking between what providers offer and what customers demand must be devised. Along with an analysis of the current cloud offering in terms of pricing model, SLA negotiation capabilities, service performance levels and cloud application requirements, this work proposes the definition of a semantic model to support the supply-demand matchmaking process in future cloud markets. Leveraging on a semantic description of the cloud resources' features, customers will be able to discover cloud offers that best suit their own business needs. Tests conducted on an implementation prototype proved the viability of the approach.

Online publication date: Sun, 25-Jan-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 Computational Science and Engineering (IJCSE):
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