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First, combined with the current popular OpenFlow technology, a novel MEC architecture is designed, which separates streaming media service processing in application layer from forwarding path optimization in network layer. Second, taking the state information of the system as the attribute feature, the session migration is calculated, and gradient reinforcement learning is combined with in\u2010depth learning and deterministic strategy for video stream session migration to solve the user request access problem. The experimental results show that the method has a better request access effect, can effectively improve the request acceptance rate, and can reduce the migration cost, while shortening the running time.<\/jats:p>","DOI":"10.1155\/2021\/5579637","type":"journal-article","created":{"date-parts":[[2021,4,13]],"date-time":"2021-04-13T00:35:05Z","timestamp":1618274105000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Video Stream Session Migration Method Using Deep Reinforcement Learning in Cloud Computing Environment"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7697-5937","authenticated-orcid":false,"given":"Lingling","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2035-0430","authenticated-orcid":false,"given":"Huixia","family":"Liu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,4,12]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2018.1700622"},{"key":"e_1_2_9_2_2","doi-asserted-by":"crossref","unstructured":"KiruthigaR.andAkilaD. 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