Gongxuan Zhang

TL;DR: An evolutionary multi-objective optimization (EMO)-based algorithm is proposed to solve this workflow scheduling problem on an infrastructure as a service (IaaS) platform and can achieve significantly better solutions than existing state-of-the-art QoS optimization scheduling algorithms in most cases.

TL;DR: This paper studies the joint optimization of cost and makespan of scheduling workflows in IaaS clouds, and proposes a novel workflow scheduling scheme which closely integrates the fuzzy dominance sort mechanism with the list scheduling heuristic HEFT.

TL;DR: The genetic algorithm-based energy-efficient clustering and routing approach GECR is presented, which achieved the best load balancing with the lowest variances in the loads on the cluster heads under different scenarios and was the most energy- efficient.

TL;DR: A two-level thermal-aware energy-efficient scheduling algorithm for real-time tasks on DVFS-enabled heterogeneous MPSoC systems is developed considering the constraints of task deadlines, task precedences, and chip peak temperature limit.

TL;DR: The proposed blind dual watermarking scheme for color images is proposed by embedding an invisible robust watermark to protect copyright, as well as a fragile watermark is embedded for image authentication to provide a suitable mechanism to protect valuable and original color images.