Crossover-Based Improved Sine Cosine Algorithm for Multimedia Content Distribution in Cloud Environment

Abstract

Widespread growth of multimedia content distribution can increase the cost and time of the content distribution. The multimedia services are stored by the service provider and the user is provided based on their demand. Basically, the network user number increases quickly, and the response time for huge numbers of users also increases rapidly. Therefore, the need of service cannot be reached. Initially, we solicited notable extraction technique to collect the interest features of user. The adjacent region and similar service interests of users are divided into service user and nonservice user. Therefore, the coherent utility value is suggested to the user evaluation procedure, so the combination of different users experience character is needed to calculate the integrated utility value. Hence, the users experience characteristics are derived by presentation of physical user, behavior of selfish user and character of the user. Consequently, we minimized the content distribution cost and time with crossover-based sine cosine algorithm (CSCA). The proposed CSCA was established for the selection of user service number. The experimental results of proposed method can decrease the multimedia user cost and improve the performance of multimedia content.