Evaluating Bio-Inspired Optimization Techniques for Utility Price Estimation in Fog Computing-Reference-Cited by-同舟云学术

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Evaluating Bio-Inspired Optimization Techniques for Utility Price Estimation in Fog Computing

Published:2018-09 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Smart Cloud (SmartCloud)
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Author:

Arshad Hafsa,Shah Munam Ali,Khattak Hasan Ali,Ameer Zoobia,Abbas Assad,Khan Samee Ullah

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8510938/8513698/08513720.pdf?arnumber=8513720

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computational Resource Allocation in Fog Computing: A Comprehensive Survey;ACM Computing Surveys;2023-07-17

2. Fog computing for next-generation Internet of Things: Fundamental, state-of-the-art and research challenges;Computer Science Review;2023-05

3. Resource Allocation and Optimization Scheduling Scheme of Edge Resources in Fog Computing Access Network;Advances in Data Science and Computing Technologies;2023

4. Ontology Alignment for Accurate Ontology Matching: A Survey;Digital Health Transformation, Smart Ageing, and Managing Disability;2023

5. Secure and Efficient Blockchain-Assisted Authentication for Edge-Integrated Internet-of-Vehicles;IEEE Transactions on Vehicular Technology;2022-11

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