QoS Evaluation of End-to-End Services in Virtualized Computing Environments: A Stochastic Model Approach

Guofeng Yan, Yuxing Peng, Shuhong Chen and Pengfei You
Additional contact information
Guofeng Yan: School of Computer and Communication, Hunan Institute of Engineering, Hunan, China & School of Computer, National University of Defense Science and Technology, Changsha, China
Yuxing Peng: School of Computer, National University of Defense Science and Technology, Changsha, China
Shuhong Chen: School of Information Science and Engineering, Central South University, Changsha, China
Pengfei You: School of Computer, National University of Defense Science and Technology, Changsha, China

International Journal of Web Services Research (IJWSR), 2015, vol. 12, issue 1, 27-44

Abstract: Quality of service (QoS) optimization for end-to-end (e2e) services always depends on performance analysis in cloud-based service delivery industry. However, performance analysis of e2e services becomes difficult as the scale and complexity of virtualized computing environments increase. In this paper, the authors present a novel hierarchical stochastic approach to evaluate the QoS of e2e virtualized cloud services using Quasi-Birth Death structures, where jobs arrive according to a stochastic process and request virtual machines (VMs), which are specified in terms of resources, i.e., VM-configuration. To reduce the complexity of performance evaluation, the overall virtualized cloud services are partitioned into three sub-hierarchies. The authors analyze each individual sub-hierarchy using stochastic queueing approach. Thus, the key performance metrics of e2e cloud service QoS, such as acceptance probability and e2e response delay incurred on user requests, are obtained.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 018/IJWSR.2015010103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jwsr00:v:12:y:2015:i:1:p:27-44

Access Statistics for this article

International Journal of Web Services Research (IJWSR) is currently edited by Liang-Jie Zhang

More articles in International Journal of Web Services Research (IJWSR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().