TRAPPY: a truthfulness and reliability aware application placement policy in fog computing

The Journal of Supercomputing ◽

10.1007/s11227-021-04187-4 ◽

2022 ◽

Author(s):

Gaurav Baranwal ◽

Deo Prakash Vidyarthi

Keyword(s):

Fog Computing ◽

Application Placement ◽

Placement Policy

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A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments

IEEE Transactions on Mobile Computing ◽

10.1109/tmc.2021.3123165 ◽

2021 ◽

pp. 1-1

Author(s):

Mohammad Goudarzi ◽

Marimuthu S Palaniswami ◽

Rajkumar Buyya

Keyword(s):

Reinforcement Learning ◽

Fog Computing ◽

Learning Technique ◽

Computing Environments ◽

Application Placement ◽

Edge And Fog Computing

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An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments

IEEE Transactions on Mobile Computing ◽

10.1109/tmc.2020.2967041 ◽

2020 ◽

pp. 1-1 ◽

Cited By ~ 2

Author(s):

Mohammad Goudarzi ◽

Huaming Wu ◽

Marimuthu S. Palaniswami ◽

Rajkumar Buyya

Keyword(s):

Fog Computing ◽

Iot Applications ◽

Computing Environments ◽

Application Placement ◽

Edge And Fog Computing ◽

Placement Technique

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Application placement in Fog computing with AI approach: Taxonomy and a state of the art survey

Journal of Network and Computer Applications ◽

10.1016/j.jnca.2021.103078 ◽

2021 ◽

pp. 103078

Author(s):

Zahra Makki Nayeri ◽

Toktam Ghafarian ◽

Bahman Javadi

Keyword(s):

State Of The Art ◽

Fog Computing ◽

Application Placement

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Bi-objective optimization of application placement in fog computing environments

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-021-02910-w ◽

2021 ◽

Author(s):

Mutaz A. B. Al-Tarawneh

Keyword(s):

Fog Computing ◽

Computing Environments ◽

Application Placement

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FONS: a fog orchestrator node selection model to improve application placement in fog computing

The Journal of Supercomputing ◽

10.1007/s11227-021-03702-x ◽

2021 ◽

Author(s):

Gaurav Baranwal ◽

Deo Prakash Vidyarthi

Keyword(s):

Fog Computing ◽

Selection Model ◽

Node Selection ◽

Application Placement

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A Model-Driven Framework for Optimum Application Placement in Fog Computing Using a Machine Learning Based Approach

Communications in Computer and Information Science - Information and Software Technologies ◽

10.1007/978-3-030-59506-7_9 ◽

2020 ◽

pp. 102-112

Author(s):

Madeha Arif ◽

Farooque Azam ◽

Muhammad Waseem Anwar ◽

Yawar Rasheed

Keyword(s):

Machine Learning ◽

Fog Computing ◽

Model Driven ◽

Application Placement ◽

Optimum Application

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IoT Application Placement Algorithm Based on Multi-Dimensional QoE Prioritization Model in Fog Computing Environment

IEEE Access ◽

10.1109/access.2020.3003249 ◽

2020 ◽

Vol 8 ◽

pp. 111253-111264

Author(s):

Heba Nashaat ◽

Eman Ahmed ◽

Rawya Rizk

Keyword(s):

Fog Computing ◽

Computing Environment ◽

Application Placement ◽

Placement Algorithm

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Trust-aware Framework for Application Placement in Fog Computing

2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) ◽

10.1109/ants47819.2019.9118122 ◽

2019 ◽

Author(s):

Ravi Yadav ◽

Gaurav Baranwal

Keyword(s):

Fog Computing ◽

Application Placement

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Availability-Aware Service Placement Policy in Fog Computing Based on Graph Partitions

IEEE Internet of Things Journal ◽

10.1109/jiot.2018.2889511 ◽

2019 ◽

Vol 6 (2) ◽

pp. 3641-3651 ◽

Cited By ~ 14

Author(s):

Isaac Lera ◽

Carlos Guerrero ◽

Carlos Juiz

Keyword(s):

Fog Computing ◽

Graph Partitions ◽

Service Placement ◽

Placement Policy

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A lightweight decentralized service placement policy for performance optimization in fog computing

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-018-0914-0 ◽

2018 ◽

Vol 10 (6) ◽

pp. 2435-2452 ◽

Cited By ~ 35

Author(s):

Carlos Guerrero ◽

Isaac Lera ◽

Carlos Juiz

Keyword(s):

Performance Optimization ◽

Fog Computing ◽

Service Placement ◽

Placement Policy

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