- 收稿日期: 2017-12-12
- 录用日期: 2018-10-12
Research on Multi-channel Joint Equilibrium Scheduling Algorithm in Cloud Computing Environment
- Received Date: 2017-12-12
- Accepted Date: 2018-10-12
Abstract: Traditional resource scheduling methods have many problems, such as long execution time span, low channel access rate, unbalanced resource load, and so on. A multichannel joint equalization scheduling algorithm was proposed in cloud computing environment. According to the multichannel communication link optimization and multichannel resources in cloud computing environment, the multichannel link model was constructed. The optimization model of the channel end to end reliability maximization was proposed, and the optimization problem was converted into a multi channel joint equilibrium scheduling problem. By using the multichannel optimal span and load balancing algorithm algorithm, the multichannel joint equalization scheduling problem was solved. Combined with the characteristics of multichannel data processing and task execution, the optimal span and load balancing dual fitness function was designed. In the initial stage and close to the convergence stage, the fitness function was adjusted appropriately to complete the multichannel joint balanced scheduling. The experimental results showed that the proposed method has the advantages of small execution time span, high channel access rate and good load balance, which can meet the realtime requirements of resource transmission.