Article,
QoS-aware edge AI placement and scheduling with multiple implementations in FaaS-based edge computing
Affiliations
- [1] Univ Chicago, Dept Comp Sci, Chicago, IL 60637 USA [NORA names: United States; America, North; OECD];
- [2] Argonne Natl Lab, Data Sci & Learning Div, Lemont, IL USA [NORA names: United States; America, North; OECD];
- [3] Argonne Natl Lab, Data Sci & Learning Div, Lemont, IL USA [NORA names: United States; America, North; OECD];
- [4] Univ Kentucky, Dept Comp Sci, Lexington, KY USA [NORA names: United States; America, North; OECD];
- [5] Aarhus Univ, Dept Elect & Comp Engn, Aarhus, Denmark [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD]
Abstract
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Keywords
Edge intelligence,
Federated learning,
Quality-of-service,
Serverless edge computing,
Service placement