Computing resources in cloud computing with heterogeneous, dynamic, non-balancing and other features, how to allocate resources to fully improve resource utilization and reduce task execution time and energy consumption optimization is the key problem to be faced in cloud computing. According to the basic characteristics of task scheduling in cloud computing environment, this paper proposes an energy consumption optimization model for task scheduling, and proposes a green clonal scheduling optimization algorithm by taking advantage of the clonal operator of immune algorithm. Experimental resul...
