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An energy-efficient model for fog computing in the Internet of Things (IoT)

  • Published:2018-09 Issue: Volume:1-2 Page:14-26
  • ISSN:2542-6605
  • Container-title:Internet of Things
  • language:en
  • Short-container-title:Internet of Things

Author:

Oma Ryuji,Nakamura Shigenari,Duolikun Dilawaer,Enokido Tomoya,Takizawa MakotoORCID

Funder

JSPS

Publisher

Elsevier BV

Subject

Materials Chemistry,Economics and Econometrics,Media Technology,Forestry

Reference25 articles.

1. IoT Fundamentals: Networking Technologies, Protocols, and Use Cases for the Internet of Things;Hanes,2018

2. Cloud computing: an overview;Creeger;Queue,2009

3. Google green, http://www.google.com/green/2015.

4. An extended simple power consumption model for selecting a server to perform computation type processes in digital ecosystems;Enokido;IEEE Trans. Ind. Inform.,2014

5. An integrated power consumption model for communication and transaction based applications;Enokido,2017

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1. Model-based, fully simulated, system-level power consumption estimation of IoT devices;Microprocessors and Microsystems;2024-03

2. Analysis of Greedy, Semi-greedy, and Random Scheduling Heuristics with DVFS for Heterogeneous Fog Computing Platform;Lecture Notes in Electrical Engineering;2024

3. Assessment of energy consumption for information flow control protocols in IoT devices;Internet of Things;2023-12

4. Information Flow Control in the Fog Computing Model Based on a Component Degree Concept;Advances on Broad-Band and Wireless Computing, Communication and Applications;2023-10-31

5. A Model of an Energy-Aware IoT;Advances on P2P, Parallel, Grid, Cloud and Internet Computing;2023-10-29
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