Credibility-based cloud media resource allocation algorithm

• We model three resource allocation participants (the resource owners, the resource applicants and the allocation agents) based on the CDA mechanism.
• We take the credibility between the media resources and media applicants into considering to improve the successful execution rate.
• The agents allocate media resources based on the calculated credibility values to get the optimal allocation sequence.
• With the increase of the task number, the CCMRA has better performance than other traditional algorithms.

Traditional cloud media resource allocation algorithms have the problem of low efficiency during resources allocation in cloud environment, which is caused by lacking credibility between media resource nodes, a credibility-based cloud media resource allocation (CCMRA) algorithm is proposed in this paper. According to the continuous double auction mechanism, the resource applicants and resource owners submit their requests to the allocation agents. Based on the total credibility, the allocation agents allocate the media resources to get the optimal allocation sequence for higher allocation efficiency and Quality of Service (QoS). Finally, the effectiveness of the proposed algorithm is proved by the simulation.