Simplified Multi-objective Optimization for Flexible IoT Edge Computing
Abstract
In large-scale, cloud-based IoT systems, challenges such as increased network load, response delays, and invasion of privacy are serious concerns in recent years. As a solution, edge computing (EC) has been introduced into these IoT systems. However, if too much of the cloud functionality is migrated to the edge, then the collected data cannot be shared between IoT systems, thereby decreasing its usefulness. We propose a multi-agent-based flexible IoT-EC architecture that balances the global optimization by the cloud with local optimization at the edges to optimize the roles of the cloud and edge servers dynamically. In this paper, we explain the simplified multi-objective optimization solutions for IoT EC. We also execute a simple traffic simulation to evaluate the proposed method.
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The present technology domain presents a gap between machine learning dedicated embedded hardware and the required software to polish it.
“Further, the present technology domain presents a gap between machine learning dedicated embedded hardware and the required software to polish it (Ogino, 2021).”
From A review on TinyML: State-of-the-art and prospects (2022) · cites this paper as Ogino, 2021
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A review on TinyML: State-of-the-art and prospects
Ray, P. P. (2022) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2021.11.019 · Cited by 460 · see citing works
“Further, the present technology domain presents a gap between machine learning dedicated embedded hardware and the required software to polish it (Ogino, 2021).”
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Safeguarding Wireless Networks in IoT with Sophisticated Privacy Optimization Approach
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- Authors
- Ogino, T.
- Affiliations
- Meisei University (JP)
- Corresponding author
- Ogino, Tadashi
- ORCID
- Ogino, Tadashi
- Venue
- 2021 4th International Conference on Information and Computer Technologies (ICICT)
- Publisher
- IEEE
- Published
- 2021-03
- Volume
- 100
- Pages
- 168-173
- OpenAlex
- W3185591558
- Cited by
- 7
- References
- 5
- Citations by year
- 2024: 2 · 2023: 3 · 2022: 1 · 2021: 1
- FWCI
- 1.62
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Information and Computer Technologies (ICICT) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- IoT edge computing, multi-objective optimization, multi-agent systems, cloud-edge collaboration, network load, response latency, privacy, traffic simulation
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