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Scheduling IoT Applications in Edge and Fog Computing Environments: A
  Taxonomy and Future Directions

Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions

26 April 2022
M. Goudarzi
M. Palaniswami
Rajkumar Buyya
ArXivPDFHTML

Papers citing "Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions"

12 / 12 papers shown
Title
ReinFog: A DRL Empowered Framework for Resource Management in Edge and
  Cloud Computing Environments
ReinFog: A DRL Empowered Framework for Resource Management in Edge and Cloud Computing Environments
Zhiyu Wang
M. Goudarzi
Rajkumar Buyya
77
0
0
20 Nov 2024
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling
  IoT Applications in Edge and Cloud Computing Environments
TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments
Zhiyu Wang
M. Goudarzi
Rajkumar Buyya
OffRL
35
3
0
18 Oct 2024
Distributed Edge Analytics in Edge-Fog-Cloud Continuum
Distributed Edge Analytics in Edge-Fog-Cloud Continuum
Satish Narayana Srirama
43
0
0
11 Jul 2024
Collaborative Resource Management and Workloads Scheduling in
  Cloud-Assisted Mobile Edge Computing across Timescales
Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales
Lujie Tang
Minxian Xu
Chengzhong Xu
Kejiang Ye
20
1
0
31 May 2024
Deep Reinforcement Learning-based Scheduling for Optimizing System Load
  and Response Time in Edge and Fog Computing Environments
Deep Reinforcement Learning-based Scheduling for Optimizing System Load and Response Time in Edge and Fog Computing Environments
Zhiyu Wang
M. Goudarzi
Mingming Gong
Rajkumar Buyya
20
57
0
14 Sep 2023
FLight: A Lightweight Federated Learning Framework in Edge and Fog
  Computing
FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing
Wu-Yang Zhu
M. Goudarzi
Rajkumar Buyya
FedML
32
7
0
05 Aug 2023
FLEdge: Benchmarking Federated Machine Learning Applications in Edge
  Computing Systems
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
Herbert Woisetschläger
Alexander Isenko
R. Mayer
Hans-Arno Jacobsen
FedML
16
4
0
08 Jun 2023
A Decade of Research in Fog computing: Relevance, Challenges, and Future
  Directions
A Decade of Research in Fog computing: Relevance, Challenges, and Future Directions
Thang M. Pham
36
52
0
03 May 2023
MicroFog: A Framework for Scalable Placement of Microservices-based IoT
  Applications in Federated Fog Environments
MicroFog: A Framework for Scalable Placement of Microservices-based IoT Applications in Federated Fog Environments
Samodha Pallewatta
V. Kostakos
Rajkumar Buyya
14
11
0
14 Feb 2023
Placement of Microservices-based IoT Applications in Fog Computing: A
  Taxonomy and Future Directions
Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions
Samodha Pallewatta
V. Kostakos
Rajkumar Buyya
33
54
0
12 Jul 2022
A Distributed Deep Reinforcement Learning Technique for Application
  Placement in Edge and Fog Computing Environments
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
M. Goudarzi
M. Palaniswami
Rajkumar Buyya
OffRL
35
85
0
24 Oct 2021
IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and
  Microservice Management in Edge and Fog Computing Environments
IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments
Md. Redowan Mahmud
Samodha Pallewatta
M. Goudarzi
Rajkumar Buyya
28
156
0
12 Sep 2021
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