File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Data Center Network Design for Internet‐Related Services and Cloud Computing

TitleData Center Network Design for Internet‐Related Services and Cloud Computing
Authors
Issue Date2021
PublisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1937-5956
Citation
Production and Operations Management, 2021, v. 30 n. 7, p. 2077-2101 How to Cite?
AbstractData center networks provide the physical infrastructure that hosts Internet-related services and cloud computing. Designing data center networks properly is imperative for Internet-related service and cloud computing providers to gain competitive edges through cost efficiency and service quality. In this study, we formulate a mathematical programming model to address the data center network design problem, in which the objective is to minimize total operating cost and the service delay penalty by optimizing data center location, footprint allocation, and resource provisioning decisions, while incorporating essential features, such as latency, power, multiple resources, configuration limits, and interdependent footprints. We employ a queueing model to approximate the service latency and provide tractable reformulations. To enhance computational efficiency for large-scale problems, we further develop Lagrangian relaxation methods and generate strengthening cuts by exploiting the structural properties of the problem. Our numerical studies demonstrate that the proposed model, which jointly optimizes location, allocation, and resource provisioning, can achieve significant cost reductions and improvements in service quality compared with a hierarchical approach that optimizes these decisions sequentially. Moreover, our proposed solution methods outperform state-of-the-art commercial software in terms of computational efficiency. Based on real-world datasets, the proposed model selects data centers that have been chosen by major cloud computing infrastructure providers. We also draw managerial insights that can be used as design guidelines in practice.
Persistent Identifierhttp://hdl.handle.net/10722/310172
ISSN
2023 Impact Factor: 4.8
2023 SCImago Journal Rankings: 3.035
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiang, Y-
dc.contributor.authorLu, M-
dc.contributor.authorShen, ZJM-
dc.contributor.authorTang, R-
dc.date.accessioned2022-01-24T02:24:55Z-
dc.date.available2022-01-24T02:24:55Z-
dc.date.issued2021-
dc.identifier.citationProduction and Operations Management, 2021, v. 30 n. 7, p. 2077-2101-
dc.identifier.issn1059-1478-
dc.identifier.urihttp://hdl.handle.net/10722/310172-
dc.description.abstractData center networks provide the physical infrastructure that hosts Internet-related services and cloud computing. Designing data center networks properly is imperative for Internet-related service and cloud computing providers to gain competitive edges through cost efficiency and service quality. In this study, we formulate a mathematical programming model to address the data center network design problem, in which the objective is to minimize total operating cost and the service delay penalty by optimizing data center location, footprint allocation, and resource provisioning decisions, while incorporating essential features, such as latency, power, multiple resources, configuration limits, and interdependent footprints. We employ a queueing model to approximate the service latency and provide tractable reformulations. To enhance computational efficiency for large-scale problems, we further develop Lagrangian relaxation methods and generate strengthening cuts by exploiting the structural properties of the problem. Our numerical studies demonstrate that the proposed model, which jointly optimizes location, allocation, and resource provisioning, can achieve significant cost reductions and improvements in service quality compared with a hierarchical approach that optimizes these decisions sequentially. Moreover, our proposed solution methods outperform state-of-the-art commercial software in terms of computational efficiency. Based on real-world datasets, the proposed model selects data centers that have been chosen by major cloud computing infrastructure providers. We also draw managerial insights that can be used as design guidelines in practice.-
dc.languageeng-
dc.publisherWiley-Blackwell Publishing, Inc.. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1937-5956-
dc.relation.ispartofProduction and Operations Management-
dc.rightsSubmitted (preprint) Version This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Accepted (peer-reviewed) Version This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.-
dc.titleData Center Network Design for Internet‐Related Services and Cloud Computing-
dc.typeArticle-
dc.identifier.emailShen, ZJM: maxshen@hku.hk-
dc.identifier.authorityShen, ZJM=rp02779-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/poms.13355-
dc.identifier.scopuseid_2-s2.0-85102309354-
dc.identifier.hkuros331482-
dc.identifier.volume30-
dc.identifier.issue7-
dc.identifier.spage2077-
dc.identifier.epage2101-
dc.identifier.isiWOS:000627479700001-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats