{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:32:40Z","timestamp":1781105560152,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,1,1]]},"abstract":"<p>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.<\/p>","DOI":"10.4018\/ijwsr.2015010103","type":"journal-article","created":{"date-parts":[[2015,3,17]],"date-time":"2015-03-17T14:25:10Z","timestamp":1426602310000},"page":"27-44","source":"Crossref","is-referenced-by-count":4,"title":["QoS Evaluation of End-to-End Services in Virtualized Computing Environments"],"prefix":"10.4018","volume":"12","author":[{"given":"Guofeng","family":"Yan","sequence":"first","affiliation":[{"name":"School of Computer and Communication, Hunan Institute of Engineering, Hunan, China & School of Computer, National University of Defense Science and Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxing","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Computer, National University of Defense Science and Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuhong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Central South University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengfei","family":"You","sequence":"additional","affiliation":[{"name":"School of Computer, National University of Defense Science and Technology, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["International Journal of Web Services Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=125457","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T11:11:31Z","timestamp":1654081891000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJWSR.2015010103"}},"subtitle":["A Stochastic Model Approach"],"short-title":[],"issued":{"date-parts":[[2015,1,1]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,1]]}},"URL":"https:\/\/doi.org\/10.4018\/ijwsr.2015010103","relation":{},"ISSN":["1545-7362","1546-5004"],"issn-type":[{"value":"1545-7362","type":"print"},{"value":"1546-5004","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,1,1]]}}}