Results 61 to 70 of about 3,062,410 (214)

Improving Scientific Workflow with Cloud Offloading [PDF]

open access: yesarXiv, 2017
Scientific workflow is a powerful tool to streamline and organize computational steps of scientific application. This paper presents Emerald, a system that adds sophisticated cloud offloading capabilities to scientific workflows. Emerald automatically offloads computation intensive steps of scientific workflow to the cloud in order to enhance workflow ...
arxiv  

Optimal dynamic spectrum allocation-assisted latency minimization for multiuser mobile edge computing

open access: yesDigital Communications and Networks, 2022
Mobile Edge Computing (MEC) has been envisioned as an efficient solution to provide computation-intensive yet latency-sensitive services for wireless devices.
Yang Li   +3 more
doaj  

Echo: An Edge-Centric Code Offloading System with Quality of Service Guarantee [PDF]

open access: yesarXiv, 2018
Code offloading is promising to accelerate mobile applications and save energy of mobile devices by shifting some computation to cloud. However, existing code offloading systems suffer from a long communication delay between mobile devices and cloud. To address this challenge, in this paper, we consider to deploy edge nodes in the proximity of mobile ...
arxiv  

Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing

open access: yesDigital Communications and Networks, 2019
The rapid growth of mobile internet services has yielded a variety of computation-intensive applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which enables mobile terminals to offload computation tasks to servers located at the
Liang Huang   +4 more
doaj  

Energy-Efficient Computation Offloading in Vehicular Edge Cloud Computing

open access: yesIEEE Access, 2020
With the development of electrification, automation, and interconnection of the automobile industry, the demand for vehicular computing has entered an explosive growth era.
Xin Li   +5 more
doaj   +1 more source

Proposal of Automatic Offloading Method in Mixed Offloading Destination Environment [PDF]

open access: yesarXiv, 2020
When using heterogeneous hardware, barriers of technical skills such as OpenMP, CUDA and OpenCL are high. Based on that, I have proposed environment-adaptive software that enables automatic conversion, configuration. However, including existing technologies, there has been no research to properly and automatically offload the mixed offloading ...
arxiv  

Twin delayed deep deterministic policy gradient-based intelligent computation offloading for IoT

open access: yesDigital Communications and Networks, 2023
In view of the randomness distribution of multiple users in the dynamic large-scale Internet of Things (IoT) scenario, comprehensively formulating available resources for fog nodes in the area and achieving computation services at low cost have become ...
Siguang Chen, Bei Tang, Kun Wang
doaj  

Computation offloading to edge cloud and dynamically resource-sharing collaborators in Internet of Things

open access: yesEURASIP Journal on Wireless Communications and Networking, 2020
With the diversity of the communication technology and the heterogeneity of the computation resources at network edge, both the edge cloud and peer devices (collaborators) can be scavenged to provide computation resources for the resource-limited ...
Siqi Mu, Zhangdui Zhong
doaj   +1 more source

Joint computation offloading and resource allocation in vehicular edge computing networks

open access: yesDigital Communications and Networks, 2023
Vehicular Edge Computing (VEC) is a promising technique to accommodate the computation-intensive and delay-sensitive tasks through offloading the tasks to the RoadSide-Unit (RSU) equipped with edge computing servers or neighboring vehicles. Nevertheless,
Shuang Liu   +3 more
doaj  

Distributed Task Offloading Game in Multiserver Mobile Edge Computing Networks

open access: yesComplexity, 2020
With the explosion of data traffic, mobile edge computing (MEC) has emerged to solve the problem of high time delay and energy consumption. In order to cope with a large number of computing tasks, the deployment of edge servers is increasingly intensive.
Shuang Chen   +3 more
doaj   +1 more source

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