With Cloud computing becoming mainstream for the execution of various applications, the
multi-objective scheduling algorithms for providing the most suitable services to users have …

With the rapid surge in cloud services, cloud load balancing has become a paramount
research issue. The major part of a cloud computing system's operational costs is attributed …

Due to the proliferation of requests in heterogeneous resources in edge computing, the
existence of a large number of tasks and workloads in virtual machines in the edge …

摘要边缘计算模式的出现使得软件服务可以部署在距离用户较近的边缘服务器上,
从而减小服务调用过程中产生的数据传输开销, 并提升服务质量. 然而, 由于计算和存储等资源的 …

Dual-gantry surface mount optimization effectively improves the productivity of printed circuit
board assembly (PCBA), but also brings new challenges. Optimizing workload allocation to …

Generally, the computational grid consists of a large number of computing nodes, some of
them are idle due to the uneven geographical distribution of computing requirements. This …

The security of workflow scheduling is a significant concern and even is one of the most
important metrics of QoS (Quality of Service). This paper presents two approaches to provide …

With the rise of Fifth-Generation (5 G) networks, smart applications are becoming
increasingly computation-intensive and latency-sensitive. To address these challenges, this …

We study a stochastic game with a dynamic set of players, for modeling and analyzing their
computational investment strategies in distributed computing. Players obtain a certain …

The workload of Cloud data centers is constantly fluctuating causing imbalances across
physical hosts that may lead to violations of service-level agreements. To mitigate workload …