Collaborative edge computing (CEC) is an emerging paradigm enabling sharing of the
coupled data, computation, and networking resources among heterogeneous geo …

Edge computing seeks to enable applications with strict latency requirements by utilizing
resources deployed in diverse, dynamic, and possibly constrained environments closer to …

Existing research on Edge Computing has proposed several edge deployment types, such
as unmanned aerial vehicles (UAV)-enabled edge computing, telecommunication base …

Modern latency-sensitive applications such as real-time multi-camera video analytics
require networked computing to meet the time constraints. We present Jupiter, an open …

Edge computing has enabled a large set of emerging edge applications by exploiting data
proximity and offloading computation-intensive workloads to nearby edge servers. However …

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 …

Edge-cloud jobs are rapidly prevailing in many application domains, posing the challenge of
using both resource-strenuous edge devices and elastic cloud resources. Efficient resource …

Operating data-intensive applications on edge systems is challenging, due to the extreme
workload and device heterogeneity, as well as the geographic dispersion of compute and …

Along the trend pushing computation from the network core to the edge where the most of
data are generated, edge computing has shown its potential in reducing response time …

With the fast growing trend in deep learning driven AI services over the past decade, deep
learning, especially the resource-intensive and time-consuming training jobs, have become …