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Instead of considering single-point and monolithic IoV tasks, in this paper, we consider the IoV applications to be with structural properties and the supporting environment to be with a hybrid cloud-edge architecture. We develop a scheduling method that offloads tasks to the eNode or cloud according to their estimations of latest starting time. Simulative results clearly demonstrate that our method beat existing solutions in terms of average completion time, average waiting time, and in-time completion rate.<\/jats:p>","DOI":"10.1186\/s13677-022-00357-8","type":"journal-article","created":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T12:02:59Z","timestamp":1670500979000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A novel vehicular task deployment method in hybrid MEC"],"prefix":"10.1186","volume":"11","author":[{"given":"Xifeng","family":"Xu","sequence":"first","affiliation":[]},{"given":"Yunni","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Feng","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Fan","family":"Li","sequence":"additional","affiliation":[]},{"given":"Hong","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Xiaodong","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Mengdi","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,12,8]]},"reference":[{"key":"357_CR1","doi-asserted-by":"publisher","unstructured":"Huang J, Tong Z, Feng Z (2022) Geographical poi recommendation for internet of things: A federated learning approach using matrix factorization. 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