Title
Optimizing Cloud-Service Performance: Efficient Resource Provisioning via Optimal Workload Allocation.
Abstract
Cloud computing is being widely accepted and utilized in the business world. From the perspective of businesses utilizing the cloud, it is critical to meet their customers’ requirements by achieving service-level-objectives. Hence, the ability to accurately characterize and optimize cloud-service performance is of great importance. In this paper a stochastic multi-tenant framework is proposed to model the service of customer requests in a cloud infrastructure composed of heterogeneous virtual machines. Two cloud-service performance metrics are mathematically characterized, namely the percentile and the mean of the stochastic response time of a customer request, in closed form. Based upon the proposed multi-tenant framework, a workload allocation algorithm, termed max-min-cloud algorithm, is then devised to optimize the performance of the cloud service. A rigorous optimality proof of the max-min-cloud algorithm is also given. Furthermore, the resource-provisioning problem in the cloud is also studied in light of the max-min-cloud algorithm. In particular, an efficient resource-provisioning strategy is proposed for serving dynamically arriving customer requests. These findings can be used by businesses to build a better understanding of how much virtual resource in the cloud they may need to meet customers’ expectations subject to cost constraints.
Year
DOI
Venue
2017
10.1109/TPDS.2016.2628370
IEEE Trans. Parallel Distrib. Syst.
Keywords
Field
DocType
Cloud computing,Time factors,Computational modeling,Analytical models,Resource management,Stochastic processes
Resource management,Virtual machine,Workload,Computer science,Response time,Symmetric multiprocessor system,Stochastic process,Provisioning,Real-time computing,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
28
6
1045-9219
Citations 
PageRank 
References 
9
0.47
21
Authors
4
Name
Order
Citations
PageRank
Zhuoyao Wang1111.60
Majeed M. Hayat221326.36
N. Ghani364566.92
Khaled Bashir Shaban413319.74