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.

中文翻译：

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云环境下基于交叉的改进正弦余弦算法多媒体内容分发

多媒体内容分发的广泛增长会增加内容分发的成本和时间。多媒体服务由服务提供商存储，并根据用户的需求提供。基本上，网络用户数快速增长，海量用户的响应时间也快速增长。因此，无法满足服务需求。最初，我们征求了显着的提取技术来收集用户的兴趣特征。用户的邻近区域和相似的服务兴趣分为服务用户和非服务用户。因此，对用户评价过程提出了连贯的效用值，因此需要结合不同的用户体验特征来计算综合效用值。因此，用户体验特征是由物理用户的表现、自私用户的行为和用户的性格得出的。因此，我们使用基于交叉的正余弦算法 (CSCA) 将内容分发成本和时间降至最低。提议的 CSCA 是为选择用户服务号码而设立的。所提方法的实验结果可以降低多媒体用户成本，提高多媒体内容的性能。