Edge computing brings computing and storage resources closer to (mobile) end users and
data sources, thus bypassing expensive and slow links to distant cloud computing …

Acknowledging the shortcomings of cloud computing, recent research efforts have been
devoted to fog computing. Motivated by a rapidly increasing number of devices at the …

Edge and fog computing have grown popular as IoT deployments become wide-spread.
While application composition and scheduling on such resources are being explored, there …

Context The energy consumption of mobile devices is increasing due to the improvement in
their components (eg, better processors, larger screens). Although the hardware consumes …

With the development of edge computing, edge storage solutions are attracting widespread
attention. When facing the requirements of lower latency and faster access speed from end …

Cloudlets are small-scale offloading units for low-latency demands, offering a unique
opportunity for emerging smart city applications such as autonomous driving or augmented …

The emerging paradigm of edge computing has proposed cloudlets to offload data and
computations from mobile, resource-constrained devices. However, little attention has been …

(1) Background: Cloud storage is often required for successful operation of novel smart
applications, relying on data produced by the Internet of Things (IoT) devices. Big Data …

The drawbacks encountered in today's cloud computing infrastructures have led to a
paradigm shift towards in-network processing, where resources in the core and at the edge …

Computation offloading is employed by mobile apps running over resource-constrained
devices to leverage the cloud in overcoming their resource limits. The advent of the Multi …