Caching content at the edge network is a popular and effective technique widely deployed to
alleviate the burden of network backhaul, shorten service delay, and improve service quality …

In Mobile Edge Computing, edge servers have limited storage and computing resources that
can only support a small number of functions. Meanwhile, mobile applications are becoming …

The current explosion of user traffic compels Internet service providers to cache contents at
edge servers, so as to reduce the response time of user requests. To deal with such vast …

Serverless edge computing is an efficient way to execute event-driven, short-duration, and
bursty IoT data processing tasks on resource-limited edge servers, using on-demand …

The traffic bandwidth costs comprise a significant amount of operating expenditure in CDNs,
induced by the traffic from the end-users to edge servers (edge cost) and from the edge to …

Serverless computing is a promising approach for edge computing since its inherent
features, eg, lightweight virtualization, rapid scalability, and economic efficiency. However …

In the classical caching problem, when a requested page is not present in the cache (ie, a"
miss"), it is assumed to travel from the backing store into the cache" before" the next request …

With the development of the Industrial Internet of Things (IIoT), the integration of a
substantial number of IIoT devices places significant pressure on backbone networks …

Multi-access Edge Computing (MEC) networks reduce service latency by caching services
at the network edge. A service request may be forwarded to the cloud for a response …

Motivated by the presence of multiple caches and the non-negligible fetching latency in
practical scenarios, we study the online file caching problem on multiple caches in latency …