IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 6, No 3: September 2017

An Approch based on Genetic Algorithm for Multi-tenant Resource Allocation in SaaS Applications

Elaheh kheiri (Islamic Azad University Mahallat)
Mostafa Ghobaei Arani (Islamic Azad University Tehran)
Alireza Taghizadeh (Islamic Azad University Tehran)



Article Info

Publish Date
01 Sep 2017

Abstract

In recent years, the use of cloud services has been significantly expanded. The providers of software as a service employ multi-tenant architectures to deliver services to their users. In these multi-tenant applications the resource allocation would suffer from over-utilization or under-utilization issues. Considering the significant effects of resource allocation on the service performance and cost, in this paper we have proposed an approach based on genetic algorithm for resource allocation which guarantees service quality through providing adequate resources. The proposed approach also improves system performance, meets the requirements of users and provides maximum resource efficiency. Simulation results show that the proposed approach has better response rate and availability comparing to other approaches, while provides an efficient resource usage.

Copyrights © 2017






Journal Info

Abbrev

IJAI

Publisher

Subject

Computer Science & IT Engineering

Description

IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like ...