A Survey of Edge Caching: Key Issues and Challenges

H Li, M Sun, F Xia, X Xu, M Bilal - Tsinghua Science and …, 2023 - ieeexplore.ieee.org
With the rapid development of mobile communication technology and intelligent
applications, the quantity of mobile devices and data traffic in networks have been growing …

Greedy cooperative cache placement for mobile edge networks with user preferences prediction and adaptive clustering

MK Somesula, RR Rout, DVLN Somayajulu - Ad Hoc Networks, 2023 - Elsevier
Caching the most likely to be requested content at the base stations in a cooperative manner
can facilitate direct content delivery without fetching content from the remote content server …

[HTML][HTML] A survey on caching in mobile edge computing

Y Zhao, W Zhang, L Zhou, W Cao - Wireless Communications and …, 2021 - hindawi.com
Boosted by the visions of 5G technology, along with the proliferation of IoT devices, we are
lucky to bear witness of a tremendous shift within the Internet, mobile computing, and …

Towards Optimal Caching and Model Selection for Large Model Inference

B Zhu, Y Sheng, L Zheng, C Barrett… - Advances in Neural …, 2024 - proceedings.neurips.cc
Abstract Large Language Models (LLMs) and other large foundation models have achieved
impressive results, but their size exacerbates existing resource consumption and latency …

Effective data management strategy and RDD weight cache replacement strategy in Spark

K Jiang, S Du, F Zhao, Y Huang, C Li, Y Luo - Computer Communications, 2022 - Elsevier
With the dramatic increase in internet users and their demand for real-time network
performance, Spark has distributed computing environment has emerged. It is widely used …

Low load DIDS task scheduling based on Q-learning in edge computing environment

X Zhao, G Huang, L Gao, M Li, Q Gao - Journal of Network and Computer …, 2021 - Elsevier
Edge computing, as a new computing model, is facing new challenges in network security
while developing rapidly. Due to the limited performance of edge nodes, the distributed …

A review of modern caching strategies in named data network: overview, classification, and research directions

R Alubady, M Salman, AS Mohamed - Telecommunication Systems, 2023 - Springer
Nowadays, Named data networking (NDN) is an extended form of Content-Centric
Networking, which is a significant one of the Information Centric Networking paradigm. It is …

Deep learning based resource availability prediction for local mobile crowd computing

PKD Pramanik, N Sinhababu, KS Kwak… - IEEE …, 2021 - ieeexplore.ieee.org
Mobile crowd computing (MCC) that utilizes public-owned (crowd's) smart mobile devices
(SMDs) collectively can give adequate computing power without any additional financial and …

Deep Reinforcement Learning perspectives on improving reliable transmissions in IoT networks: Problem formulation, parameter choices, challenges, and future …

M Alipio, M Bures - Internet of Things, 2023 - Elsevier
The majority of communication protocols used in IoT networks for caching and congestion
control techniques were rule-based which implies that these protocols are dependent on …

To transcode or not? A machine learning based edge video caching and transcoding strategy

SMAH Bukhari, E Baccour, K Bilal, J Shuja… - Computers and …, 2023 - Elsevier
The variable network conditions of end-users demand different resolutions, formats, and
bitrate versions of videos to be delivered over the network. Fetching each video from the …