Mobile edge computing (MEC) enables intelligent content caching at the network edge to
reduce traffic and enhance content delivery efficiency. In MEC architecture, popular content …

The sheer unpredictability of content popularity, diversified user preferences and demands,
and privacy concerns for data sharing all create hurdles to develop proactive content …

Edge storage is emerging as a novel storage paradigm, which offers the advantage of low
latency and low cost, but has the disadvantage of limiting the scope of services to a certain …

Mobile edge computing (MEC) is seen as a promising method of computation offloading.
Moving services from cloud servers to mobile edge nodes (MENs) can decrease service …

High-speed internet has boosted clients' traffic needs. Content caching on mobile edge
computing (MEC) servers reduces traffic and latency. Caching with MEC faces difficulties …

To address the challenges of delay-sensitive deep learning tasks, Deep Neural Network
(DNN) models are often partitioned and deployed to the cloud–edge environment for …

This paper proposes a video caching and transcoding strategy for delay-constrained content
delivery in multi-tier wireless networks. Particularly for multimedia services whose content …

Content popularity forecast is a key enabler toward the realization of proactive content
caching, contributing to significant reduction of content fetching delay. Different from most of …

For the purpose of video caching and low-delay video delivery to the end-users, multiaccess
edge computing (MEC) servers are commonly grouped into clusters to efficiently exploit the …

As the demand for video streaming continues to rise, cloud computing has become a vital
infrastructure for delivering reliable and scalable services. However, cost management and …