A scalable resource provisioning scheme for the cloud using peer to peer resource discovery and multi-attribute utility theory Online publication date: Thu, 21-Sep-2017
by Md. Rayhanur Rahman; Kazi Sakib
International Journal of Cloud Computing (IJCC), Vol. 6, No. 3, 2017
Abstract: Serving large number of users without compromising service availability and performance is key to the success of the cloud. A fundamental challenge in building such services is incorporating scalability and fail safe techniques for discovering and provisioning of resources. As peer-to-peer (P2P) architectures are invincible to these setbacks, the work proposes a P2P-based resource discovery and provisioning method for the cloud. It first addresses the multi attribute data publishing and the range querying inability of existing distributed hash table (DHT)-based P2P schemes and proposes an attribute hub-based discovery of provisioning information. Focused on that, a decentralised resource provisioning model is proposed using multi-attribute utility theory methods. The simulation shows that the proposed approach is 44.24% and 45.81% faster than the centralised and DHT-based approaches respectively in case of multidimensional range querying. It also shows the lesser number of service level objective (SLO) violations and migrations which are about 24.11% and 33.43% respectively.
Online publication date: Thu, 21-Sep-2017
Go to Inderscience Online Journals to access the Full Text of this article.
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:
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 email@example.com