Distributed Edge Machine Learning Pipeline Scheduling with Reverse Auctions
Author:
Affiliation:
1. Information Sciences Institute, University of Southern California,Arlington,VA,USA
2. Air Force Institute of Technology,Dayton,OH,USA
Funder
Office of Naval Research
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10305711/10305726/10306169.pdf?arnumber=10306169
Reference30 articles.
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4. CoPPer: Soft Real-Time Application Performance Using Hardware Power Capping
5. Reverse auction-based computation offloading and resource allocation in mobile cloud-edge computing;zhou;IEEE Transactions on Mobile Computing,2022
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1. DIDS: A distributed inference framework with dynamic scheduling capability;Future Generation Computer Systems;2025-01
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