Paper Info
Title
FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments.
Abstract
Recent advancements in web-based application, especially in cloud computing environment, allows cloud service providers to deploy and provide web-based services in the form of multitier applications. One of the most suitable infrastructure for the running of multitier applications is a cloud computing infrastructure. Since the arrival rate of users to the multitier applications varies over the time, deciding about the right amount of resources required to handle the each tier of multitier applications is not trivial, and it depends on the current workload of its each tier. Therefore, it is necessary to automatically provision resources to deal with fluctuating demands of the multitier applications. In this paper, we propose a hybrid resource provisioning approach for multitier applications based on a combination of the concept of the autonomic computing and the fuzzy analytical hierarchy process approach. Moreover, we present a framework based on MAPE-k control loop for autonomous resource provisioning of multitier applications in cloud computing environments. The effectiveness of the proposed approach under real and synthetic workloads was evaluated. The experimental results indicate that the proposed solution outperforms in terms of allocated virtual machines, response time, and cost compared with the other approaches.
Year
DOI
Venue
2018
10.1002/spe.2627
SOFTWARE-PRACTICE & EXPERIENCE
Keywords
Field
DocType
autonomic computing,cloud computing,FAHP,multitier applications,resource provisioning,workload prediction
Workload prediction,Autonomic computing,Computer science,Petroleum engineering,Provisioning,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
48.0
12.0
0038-0644
Citations 
PageRank 
References 
2
0.40
30
Authors
3
Name
Order
Citations
PageRank
Reihaneh Khorsand1232.36
Mostafa Ghobaei Arani218916.41
Mohammadreza Ramezanpour3284.86