Application workload scheduling in hybrid Cloud-Edge-IoT infrastructures has been
extensively researched over the last years. The recent trend of containerizing application …

In edge computing, scheduling heterogeneous workloads with diverse resource
requirements is challenging. Besides limited resources, the servers may be overwhelmed …

KubeEdge is an open-source platform that orchestrates containerized Internet of Things
(IoT) application services in IoT edge computing environments. Based on Kubernetes, it …

Container technology has revolutionized the way software is being packaged and run. The
telecommunications industry, now challenged with the 5G transformation, views containers …

After the advent of the Internet of Things and 5G networks, edge computing became the
center of attraction. The tasks demanding high computation are generally offloaded to the …

Edge computing is an emerging technology which places computing at the edge of the
network to provide an ultra-low latency. Computation offloading, a paradigm that migrates …

Compute heterogeneity is increasingly gaining prominence in modern datacenters due to
the addition of accelerators like GPUs and FPGAs. We observe that datacenter schedulers …

The continuous expansion of Edge computing calls for efficient scheduling techniques for
the employed microservices. However, typical container schedulers often fall short when …

The compute capability of edge devices is expanding owing to the wide adoption of edge
computing for various application scenarios and specialized hardware explicitly developed …

Kubernetes (k8s) has the potential to merge the distributed edge and the cloud but lacks a
scheduling framework specifically for edge-cloud systems. Besides, the hierarchical …