A Dual-Agent Approach for Coordinated Task Offloading and Resource Allocation in MEC
Journal of Electrical and Computer Engineering, 2023 Multiaccess edge computing (MEC) is a novel distributed computing paradigm. In this paper, we investigate the challenges of task offloading scheduling, communication bandwidth, and edge server computing resource allocation for multiple user equipments ...
Jiadong Dong +5 more
doaj +1 more source
Computing the Component-Labeling and the Adjacency Tree of a Binary Digital Image in Near Logarithmic-Time [PDF]
, 2019 Connected component labeling (CCL) of binary images is one of the fundamental operations in real time applications. The adjacency tree (AdjT) of the connected components offers a region-based representation where each node represents a region which is
Díaz del Río, Fernando +2 more
core +1 more source
Tree Contraction, Connected Components, Minimum Spanning Trees: a GPU Path to Vertex Fitting [PDF]
, 2014 Standard parallel computing operations are considered in the context of algorithms for solving 3D graph problems which have applications, e.g., in vertex finding in HEP.
Hobson, PR, Lopes, RHC, Reid, ID
core +1 more source
Analysis and implementation of the Large Scale Video-on-Demand System
, 2012 Next Generation Network (NGN) provides multimedia services over broadband based networks, which supports high definition TV (HDTV), and DVD quality video-on-demand content. The video services are thus seen as merging mainly three areas such as computing,
Kanrar, Soumen
core +1 more source
The potential use of service-oriented infrastructure framework to enable transparent vertical scalability of cloud computing infrastructure [PDF]
, 2018 Cloud computing technology has become familiar to most Internet users. Subsequently, there has been an increased growth in the use of cloud computing, including Infrastructure as a Service (IaaS).
+30 more
core +1 more source
EdgeShard: Efficient LLM Inference via Collaborative Edge Computing
IEEE Internet of Things JournalLarge language models (LLMs) have shown great success in content generation and intelligent intelligent decision making for IoT systems. Traditionally, LLMs are deployed on the cloud, incurring prolonged latency, high bandwidth costs, and privacy ...
Mingjin Zhang +4 more
semanticscholar +1 more source
Deep Learning Entrusted to Fog Nodes (DLEFN) Based Smart Agriculture
Applied Sciences, 2020 Colossal amounts of unstructured multimedia data are generated in the modern Internet of Things (IoT) environment. Nowadays, deep learning (DL) techniques are utilized to extract useful information from the data that are generated constantly ...
Kyuchang Lee +2 more
doaj +1 more source
Security Implications of Fog Computing on the Internet of Things
, 2018 Recently, the use of IoT devices and sensors has been rapidly increased which also caused data generation (information and logs), bandwidth usage, and related phenomena to be increased.
Butun, Ismail +2 more
core +1 more source
Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew +11 more
wiley +1 more source
The Role of Edge Computing in Enhancing IoT Performance in 2025 [PDF]
Iranian Journal of Information Processing & ManagementBackground: The growth of the number of connected devices and the extent of Internet of Things (IoT) integration has led to new and emerging needs such as the management of big data, real-time reaction, efficient bandwidth utilization, and security ...
Lara Mwafaq +4 more
doaj +1 more source