Distributed Artificial Intelligence with Multi-Agent Systems for MEC
Teemu Leppänen
- 01 Jul 2019
- pp 1-8
TL;DR: The Multi-access Edge Computing (MEC) system architecture, as defined by the ETSI standards, is modeled as a multi-agent system, designed as software agents, facilitating distributed artificial intelligence capabilities in their operation and cooperation.
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Abstract: In this paper, the Multi-access Edge Computing (MEC) system architecture, as defined by the ETSI standards, is modeled as a multi-agent system. MEC system management services and application execution components are designed as software agents, facilitating distributed artificial intelligence capabilities in their operation and cooperation. Further, the integration of current agent technologies into the standardized MEC system is discussed. Lastly, a case study is presented on how to integrate an existing Internet of Things agent framework and agent-based edge application seamlessly to the MEC system.
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Citations
A survey of multi-access edge computing in 5G and beyond : fundamentals, technology integration, and state-of-the-art.
Quoc-Viet Pham,Fang Fang,Vu Nguyen Ha,Md. Jalil Piran,Mai Le,Long Bao Le,Won-Joo Hwang,Zhiguo Ding +7 more
TL;DR: In this article, the authors provide a comprehensive overview of mobile edge computing (MEC) and its potential use cases and applications, as well as discuss challenges and potential future directions for MEC research.
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A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art
Quoc-Viet Pham,Fang Fang,Vu Nguyen Ha,Md. Jalil Piran,Mai Le,Long Bao Le,Won-Joo Hwang,Zhiguo Ding +7 more
TL;DR: This survey provides a holistic overview of MEC technology and its potential use cases and applications, and outlines up-to-date researches on the integration of M EC with the new technologies that will be deployed in 5G and beyond.
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Agent-Based Intelligent Decision Support Systems: A Systematic Review
TL;DR: In this paper , a review of 58 studies published from 2007 to 2019 is presented, where the authors try to survey their impact on practice and research and suggest suggestions for further research and practice.
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Edge-Based Microservices Architecture for Internet of Things: Mobility Analysis Case Study
Teemu Leppänen,Claudio Savaglio,Lauri Lovén,Tommi Jarvenpaa,Rouhollah Ehsani,Ella Peltonen,Giancarlo Fortino,Jukka Riekki +7 more
- 01 Dec 2019
TL;DR: The results show that the edge promise of low latency can be met in such as implementation and the integration of a software development technology with a standardized edge system provides solid background for further development.
Service modeling for opportunistic edge computing systems with feature engineering
TL;DR: A novel development process for modeling opportunistic edge computing services, which rely on ETSI MEC reference architecture and Opportunistic Internet of Things Service modeling for the early stage of system analysis and design, and construct Opportunistic Feature Vectors for Edge, containing the numerical representations of those properties.
19
References
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Pavel Mach,Zdenek Becvar +1 more
TL;DR: This paper describes major use cases and reference scenarios where the mobile edge computing (MEC) is applicable and surveys existing concepts integrating MEC functionalities to the mobile networks and discusses current advancement in standardization of the MEC.
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A Comprehensive Survey of Multiagent Reinforcement Learning
Lucian Busoniu,Robert Babuska,B. De Schutter +2 more
- 01 Mar 2008
TL;DR: The benefits and challenges of MARL are described along with some of the problem domains where the MARL techniques have been applied, and an outlook for the field is provided.
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Pavel Mach,Zdenek Becvar +1 more
TL;DR: In this paper, the authors present a survey of the research on computation offloading in mobile edge computing (MEC), focusing on user-oriented use cases and reference scenarios where the MEC is applicable.
2.2K
Fog Computing: A Platform for Internet of Things and Analytics
Flavio Bonomi,Rodolfo A. Milito,Preethi Natarajan,Jiang Zhu +3 more
- 01 Jan 2014
TL;DR: This chapter proposes a hierarchical distributed architecture that extends from the edge of the network to the core nicknamed Fog Computing, and pays attention to a new dimension that IoT adds to Big Data and Analytics: a massively distributed number of sources at the edge.
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Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey
TL;DR: A comprehensive survey of the applications of DL algorithms for different network layers, including physical layer modulation/coding, data link layer access control/resource allocation, and routing layer path search, and traffic balancing is performed.
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