The popularity of edge computing has risen due to the widespread use of online services on
IoT and mobile devices. This technology provides geographically distributed edge servers to …

Edge computing, a distributed computing concept, brings data processing and storage
closer to endpoints or edge devices. Caching methods are crucial in edge computing …

In edge computing, the app vendors hire resources from edge servers and allocate them to
app users to overcome the challenge of the limited computing capacities of their IoT devices …

The existing research on dependent task offloading and resource allocation assumes that
edge servers can provide computational and communication resources free of charge. This …

Mobile edge computing (MEC) has emanated as a propitious computing paradigm that can
foster delay-sensitive and/or data-intensive applications. However, it can be challenging to …

Democratizing Edge Computing (EC) by harnessing the underused computational
resources of Extreme Edge Devices (EEDs) can revolutionize a broad spectrum of IoT …

We present a comprehensive characterization of task allocation techniques in data centers
based on information theory, focusing specifically on Shannon Entropy and Statistical …

With the development of Internet of Vehicles (IOV) technology, minimizing network latency
while performing computationally intensive tasks has become a challenge. As the most …

In edge computing, app vendors provide task-offloading services to small intelligent devices
with limited resources via edge servers. Users of these devices aim to utilize a better quality …

Edge computing is a novel computing framework that offers decentralized computing power
in order to reduce latency and save bandwidth. This technology is critical in the fast-evolving …