ANIARA Project - Automation of Network Edge Infrastructure and Applications with Artificial Intelligence

Author:

John Wolfgang1,Balador Ali1,Taghia Jalil2,Johnsson Andreas2,Sjöberg Johan1,Marsh Ian3,Gustafsson Jonas3,Tonini Federico4,Monti Paolo4,Sköldström Pontus5,Dowling Jim6

Affiliation:

1. Ericsson, Stockholm, Sweden

2. Ericsson,, Stockholm, Sweden

3. RISE Research Institute of Sweden, Stockholm, Sweden

4. Chalmers University, Sweden

5. Qamcom AB, Sweden

6. Hopsworks AB, Sweden

Abstract

Emerging use-cases like smart manufacturing and smart cities pose challenges in terms of latency, which cannot be satisfied by traditional centralized infrastructure. Edge networks, which bring computational capacity closer to the users/clients, are a promising solution for supporting these critical low latency services. Different from traditional centralized networks, the edge is distributed by nature and is usually equipped with limited compute capacity. This creates a complex network to handle, subject to failures of different natures, that requires novel solutions to work in practice. To reduce complexity, edge application technology enablers, advanced infrastructure and application orchestration techniques need to be in place where AI and ML are key players.

Publisher

Association for Computing Machinery (ACM)

Subject

General Medicine

Reference22 articles.

1. Roadmap for edge AI: A dagstuhl perspective;Ding A. Y.;CoRR,2021

2. G. Wikström , ' 6g -- connecting a cyber-physical world: A research outlook towards 2030 ," Ericsson , White paper, Feb. 2022. G. Wikström et al., '6g -- connecting a cyber-physical world: A research outlook towards 2030," Ericsson, White paper, Feb. 2022.

3. The network compute fabric – Advancing Digital Transformation with Ever-Present Service Continuity

4. A. Haas the web up to speed with webassembly," in Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation , PLDI 2017 , (New York, NY, USA) , p. 185 -- 200 , Association for Computing Machinery, 2017. A. Haas et al., 'Bringing the web up to speed with webassembly," in Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2017, (New York, NY, USA), p. 185--200, Association for Computing Machinery, 2017.

5. M. Nieke , L. Almstedt , and R. Kapitza , ' Edgedancer: Secure mobile webassembly services on the edge," in Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking , EdgeSys '21 , (New York, NY, USA) , p. 13 -- 18 , Association for Computing Machinery, 2021. M. Nieke, L. Almstedt, and R. Kapitza, 'Edgedancer: Secure mobile webassembly services on the edge," in Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking, EdgeSys '21, (New York, NY, USA), p. 13--18, Association for Computing Machinery, 2021.

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