Li, L. and Fang, M., 2019. Secure scheduling algorithms for ship communication network tasks under cloud computing. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 747–752. Coconut Creek (Florida), ISSN 0749-0208.

In order to improve the efficiency of cloud computing and save the overhead of Ship communication network task scheduling, this paper proposes a solution to the existing problems in scheduling algorithms of cloud computing Ship communication network task such as imbalanced resource loading, long scheduling time, and high cost in the scheduling process. A secure scheduling algorithm for Ship communication network tasks under cloud computing is described based on differential evolution algorithm. Security factors are added for the task scheduling process, and tasks with different security requirements are submitted to virtual machines with different security levels to ensure the security of the user tasks. Then, the corresponding membership functions are established for the differentiated service target constraints of the user tasks. The multi-objective constrained problem is transformed into a single-objective constrained problem by adjusting the weights of the constraints. Afterwards, a differential evolution algorithm is utilized to iteratively compute the target constrained problem, and construct a task scheduling evaluation function, and select the optimal feasibility schedule plan based on the evaluation function value. The experimental results show that compared with the current algorithm, the proposed algorithm has better load balancing in the task scheduling process, shorter scheduling time and lower cost.