In an edge storage system, popular data can be stored on edge servers to enable low-
latency data retrieval for nearby users. Suffering from constrained storage capacities, edge …

Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …

In the multi-access edge computing (MEC) environment, app vendors' data can be cached
on edge servers to ensure low-latency data retrieval. Massive users can simultaneously …

The new mobile edge computing (MEC) paradigm fundamentally changes the data caching
technique by allowing data to be cached on edge servers attached to base stations within …

The new edge computing paradigm extends cloud computing by allowing service vendors to
deploy their service instances and data on distributed edge servers to serve their service …

Mobile Edge Computing (MEC) has emerged to overcome the inability of cloud computing to
offer low latency services. It allows popular data to be cached on edge servers deployed …

Edge-cloud computing is an efficient approach to address the high latency issue in mobile
cloud computing for service provisioning, by placing several computing resources close to …

In edge computing (EC), when the edge server (ES) is processing tasks delivered by the
mobile devices (MDs), the MDs move outside the coverage of the ES, where task migration …

In the mobile edge computing (MEC) environment, edge servers with storage and computing
resources are deployed at base stations within users' geographic proximity to extend the …

Edge computing has been considered as a leading paradigm to satisfy the low latency
demand for some computation-intensive or data-intensive applications, especially for IIoT …