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In this paper, a connectivity base mobility prediction method is proposed to assign the cloud resources to the user without loss in the connection. The past accessing history of the users and path loss factors are taken into consideration to predict proper access point. From the performance evaluation the performance of the proposed method is increased by 15.23% when compared to other existing methods.<\/jats:p>","DOI":"10.3233\/kes-210060","type":"journal-article","created":{"date-parts":[[2021,4,9]],"date-time":"2021-04-09T16:20:22Z","timestamp":1617985222000},"page":"149-157","source":"Crossref","is-referenced-by-count":0,"title":["An efficient mobility prediction model for resource allocation in mobile cloud computing"],"prefix":"10.1177","volume":"25","author":[{"given":"Praveena","family":"Akki","sequence":"first","affiliation":[]},{"given":"V.","family":"Vijayarajan","sequence":"additional","affiliation":[]}],"member":"179","reference":[{"key":"10.3233\/KES-210060_ref1","first-page":"163","article-title":"Future Generation Computer Systems","volume":"70","author":"Mehta","year":"2017","journal-title":"Elsevier"},{"key":"10.3233\/KES-210060_ref2","unstructured":"P. Stahl, J. 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