{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T08:03:37Z","timestamp":1773821017528,"version":"3.50.1"},"reference-count":18,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T00:00:00Z","timestamp":1600646400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2020R1A6A1A03040583 and NRF-2017R1D1A1B04027874"],"award-info":[{"award-number":["NRF-2020R1A6A1A03040583 and NRF-2017R1D1A1B04027874"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>With the recent advancements in cloud computing technology, the number of cloud-based services has been gradually increasing. Symmetrically, users are asking for quality of experience (QoE) to be maintained or improved. To do this, it has become necessary to manage network resources more efficiently inside the cloud. Many theoretical studies for improving the users\u2019 QoE have been proposed. However, there are few practical solutions due to the lack of symmetry between implementation and theoretical researches. Hence, in this study, we propose a ranking table-based network resource allocation method that dynamically allocates network resources per service flow based on flow information periodically collected from a software defined network (SDN). It dynamically identifies the size of the data transmission for each service flow on the SDN and differentially allocates network resources to each service flow based on this size. As a result, it maintains the maximum QoE for the user by increasing the network utilization. The experimental results show that the proposed method achieves 29.4% higher network efficiency than the general Open Shortest Path First (OSPF) method on average.<\/jats:p>","DOI":"10.3390\/sym12091556","type":"journal-article","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T08:18:01Z","timestamp":1600676281000},"page":"1556","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["An Efficient Network Resource Management in SDN for Cloud Services"],"prefix":"10.3390","volume":"12","author":[{"given":"Myunghoon","family":"Jeon","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Kyonggi University, Gyeonggi-do 16227, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0077-6576","authenticated-orcid":false,"given":"Namgi","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Kyonggi University, Gyeonggi-do 16227, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yehoon","family":"Jang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Kyonggi University, Gyeonggi-do 16227, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Byoung-Dai","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Kyonggi University, Gyeonggi-do 16227, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mell, P., and Grance, T. (2011). The NIST Definition of Cloud Computing, National Institute of Standards and Technology.","DOI":"10.6028\/NIST.SP.800-145"},{"key":"ref_2","first-page":"30","article-title":"Software-defined networking","volume":"17","author":"McKeown","year":"2009","journal-title":"IEEE Infocom Keynote Talk"},{"key":"ref_3","unstructured":"(2020, April 20). Openflow. Available online: https:\/\/www.opennetworking.org\/."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.comnet.2016.08.029","article-title":"Cloud and network orchestration in SDN data centers: Design principles and performance evaluation","volume":"108","author":"Gharbaoui","year":"2016","journal-title":"Comput. Netw."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"e3172","DOI":"10.1002\/ett.3172","article-title":"An SDN orchestrator for cloud data center: System design and experimental evaluation","volume":"28","author":"Adami","year":"2017","journal-title":"Trans. Emerg. Telecommun. 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