Purpose The purpose of this study is to examine how the implementation of edge computing
can enhance the progress of the circular economy within supply chains and to address the …

With the explosive growth of data generated by the Internet of Things (IoT) devices, the
traditional cloud computing model by transferring all data to the cloud for processing has …

Edge computing (EC) has recently emerged as a novel computing paradigm that offers
users low-latency services. Suffering from constrained computing resources due to their …

With the increasing development of electronic technology, traditional paper-driven medical
systems have been converting to efficient electronic records that can be easily checked and …

Edge computing allows app vendors to deploy their applications and relevant data on
distributed edge servers to serve nearby users. Caching data on edge servers can minimize …

Edge computing (EC) is an emerging paradigm that extends cloud computing by pushing
computing resources onto edge servers that are attached to base stations or access points …

Multi-access Edge Computing (MEC), as an extension of cloud computing, provides storage
resources at the network edge to enable low-latency data retrieval for users. Due to limited …

With the aggravation of data explosion and backhaul loads on 5 G edge network, it is difficult
for traditional centralized cloud to meet the low latency requirements for content access. The …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

In recent years, edge computing has emerged as a prospective distributed computing
paradigm that overcomes several limitations of cloud computing. In the edge computing …