Zhongjin Li

TL;DR: A cost and energy aware scheduling (CEAS) algorithm for cloud scheduler to minimize the execution cost of workflow and reduce the energy consumption while meeting the deadline constraint is presented.

TL;DR: This paper proposes a security and cost aware scheduling (SCAS) algorithm based on the meta-heuristic optimization technique, particle swarm optimization (PSO), the coding strategy of which is devised to minimize the total workflow execution cost while meeting the deadline and risk rate constraints.

TL;DR: A multi-objective scheduling (MOS) algorithm for scientific workflow in multicloud environment is proposed, the aim of which is to minimize workflow makespan and cost simultaneously while satisfying the reliability constraint.

TL;DR: This paper proposes a security and energy efficient computation offloading (SEECO) strategy for service workflows in MEC environment, the goal of which is to optimize the energy consumption under the risk probability and deadline constraints.

TL;DR: This work proposes a security and cost-aware computation offloading (SCACO) strategy for mobile users in mobile edge computing environment, the goal of which is to minimize the overall cost under the risk probability constraints.