{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T20:01:31Z","timestamp":1773864091539,"version":"3.50.1"},"reference-count":51,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T00:00:00Z","timestamp":1768780800000},"content-version":"vor","delay-in-days":18,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Concurrency and Computation"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Virtual Network Embedding (VNE) plays a crucial role in optimizing physical network (PN) resource utilization in network virtualization and delivering service benefits such as isolation, cost efficiency, flexibility, security, and Quality of Service (QoS) to end users. Despite its importance, VNE faces significant challenges, such as assigning resources to Virtual Network Requests (VNRs) to drive lower energy consumption, which can unfavorably affect network performance. VNE constitutes two corresponding subproblems: virtual machine embedding and virtual link embedding, and both problems are treated as  hard. In this context, minimizing energy consumption remains vital for SPs by effectively utilizing PN resources, as it not only increases the revenue\u2010to\u2010cost ratio but also enhances the acceptance of VNRs. This work introduces a novel heuristic framework called the Multi\u2010Attributed Traffic Intensity Based Energy Aware Embedding for Online Virtual Network Requests (IViN) framework, designed to enhance the acceptance ratio while minimizing energy consumption. IViN considers a multi\u2010attribute approach from system and network features in its heuristic ranking mechanism to rank virtual machines and servers during virtual machine embedding, followed by a virtual link assignment using the shortest path approach. These attributes play a crucial role in effectively capturing the dependencies between network elements. This helps IViN achieve energy\u2010sensitive resource allocation and improves VNR acceptance and revenue\u2010to\u2010cost ratio. We validate the proposed approach by comparing it with existing methods through simulation experiments. The results show that IViN outperforms the baseline techniques by achieving improvements of 41%, 60%, and 34% in acceptance ratio, revenue\u2010to\u2010cost ratio, and energy consumption, respectively.<\/jats:p>","DOI":"10.1002\/cpe.70527","type":"journal-article","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T03:12:46Z","timestamp":1768878766000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["<scp>IViN<\/scp>\n                    : An Efficient Multi\u2010Attributed Traffic Intensity Based Energy Aware Embedding for Online Virtual Network Requests"],"prefix":"10.1002","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1630-7934","authenticated-orcid":false,"given":"T. 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