Task Scheduling is a key challenging issue of Infrastructure as a Service (IaaS) based cloud
data center and it is well-known NP-complete problem. As the number of users' requests …

Edge computing has become a promising computing paradigm for building IoT (Internet of
Things) applications, particularly for applications with specific constraints such as latency or …

Kubernetes is a powerful tool to manage containerized applications, which is also regarded
as one promising platform to support microservices in edge computing. The scheduler is a …

Nowadays, the Internet of Things (IoT) continues to expand at enormous rates. Smart Cities
powered by connected sensors promise to transform public services from transportation to …

Edge/Fog computing is a novel computing paradigm that provides resource-limited Internet
of Things (IoT) devices with scalable computing and storage resources. Compared to cloud …

Deep Learning (DL) workloads have rapidly increased in popularity in enterprise clusters
and several new cluster schedulers have been proposed in recent years to support these …

A vast and growing number of IoT applications connect physical devices, such as scientific
instruments, technical equipment, machines, and cameras, across heterogenous …

In edge computing, applications can be scheduled in the granularity of inter-dependent
tasks to proximate edge servers to achieve high performance. Before execution, the edge …

An edge cloud is a highly distributed heterogeneous edge infrastructure that follows
principles of disaggregated, cloud-native, fully orchestrated, and provisioned architecture …

Loosely coupled and highly cohesived microservices running in containers are becoming
the new paradigm for application development. Compared with monolithic applications …