A fast energy-centered and QoS-aware service composition approach for Internet of Things-Reference-Cited by-同舟云学术

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A fast energy-centered and QoS-aware service composition approach for Internet of Things

Published:2021-03 Issue: Volume:100 Page:106914
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chai Zheng-yi,Du Meng-meng,Song Guo-zhi

Funder

Natural Science Foundation of Tianjin City

Key Laboratory of Universal Wireless Communications of Ministry of Education

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference36 articles.

1. Internet of Things: A survey on enabling technologies, protocols, and applications;Alfuqaha;IEEE Commun. Surv. Tutor.,2015

2. Choices for interaction with things on internet and underlying issues;Mashal;Ad Hoc Netw.,2015

3. Formal verification approaches and standards in the cloud computing: A comprehensive and systematic review;Souri;Comput. Stand. Interfaces,2018

4. Service composition approaches in IoT: A systematic review;Asghari;J. Netw. Comput. Appl.,2018

5. Service composition instantiation based on cross-modified artificial Bee Colony algorithm;Huo;China Commun.,2016

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2. TSFTO: A Two-Stage Fuzzy-Based Tasks Orchestration Algorithm for Edge and Fog Computing Environments;Lecture Notes in Networks and Systems;2024

3. A Quality-of-Service-Aware Service Composition Method in the Internet of Things Using a Multi-Objective Fuzzy-Based Hybrid Algorithm;Sensors;2023-08-17

4. Skyline-Enhanced Deep Reinforcement Learning Approach for Energy-Efficient and QoS-Guaranteed Multi-Cloud Service Composition;Applied Sciences;2023-06-04

5. IoT Capabilities Composition and Decomposition: A Systematic Review;IEEE Access;2023

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