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Joint Service Caching and Task Offloading for Mobile Edge Computing in
  Dense Networks

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks

17 January 2018
Jie Xu
Lixing Chen
Pan Zhou
ArXivPDFHTML

Papers citing "Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks"

12 / 12 papers shown
Title
Joint Model Assignment and Resource Allocation for Cost-Effective Mobile
  Generative Services
Joint Model Assignment and Resource Allocation for Cost-Effective Mobile Generative Services
Shuangwei Gao
Peng Yang
Yuxin Kong
Feng Lyu
Ning Zhang
21
0
0
09 Sep 2024
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
Zuguang Li
Wen Wu
Shaohua Wu
Wei Wang
41
1
0
08 Mar 2024
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via
  Deep Reinforcement Learning
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning
Wen Wu
Peng Yang
Weiting Zhang
Conghao Zhou
Xuemin
X. Shen
24
103
0
31 Dec 2022
Beyond 5G Networks: Integration of Communication, Computing, Caching,
  and Control
Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control
M. M. Adam
Liqiang Zhao
Kezhi Wang
Zhu Han
15
10
0
26 Dec 2022
Online Service Placement and Request Scheduling in MEC Networks
Online Service Placement and Request Scheduling in MEC Networks
Lina Su
Ne Wang
Ruiting Zhou
Zongpeng Li
13
0
0
26 Aug 2021
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via
  Constrained Learning
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning
Wen Wu
Nan Chen
Conghao Zhou
Mushu Li
Xuemin Shen
W. Zhuang
Xu Li
20
126
0
03 Dec 2020
Trustworthy Edge Computing through Blockchains
Trustworthy Edge Computing through Blockchains
Abdullah Al-Mamun
Dongfang Zhao
11
3
0
15 May 2020
Cloud Deployment Tradeoffs for the Analysis of Spatially-Distributed
  Systems of Internet-of-Things
Cloud Deployment Tradeoffs for the Analysis of Spatially-Distributed Systems of Internet-of-Things
Christos Tsigkanos
Martin Garriga
Luciano Baresi
C. Ghezzi
14
2
0
23 Apr 2020
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated
  Learning in MEC
FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC
Rongfei Zeng
Shixun Zhang
Jiaqi Wang
Xiaowen Chu
FedML
32
180
0
22 Feb 2020
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling
  in Edge Computing
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing
Zhi Cao
Honggang Zhang
Yu Cao
Benyuan Liu
11
6
0
26 Aug 2019
Service Placement with Provable Guarantees in Heterogeneous Edge
  Computing Systems
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems
Stephen Pasteris
Shiqiang Wang
Mark Herbster
T. He
14
139
0
17 Jun 2019
Spatio-temporal Edge Service Placement: A Bandit Learning Approach
Spatio-temporal Edge Service Placement: A Bandit Learning Approach
Lixing Chen
Jie Xu
Shaolei Ren
Pan Zhou
27
76
0
07 Oct 2018
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