Online Learning for Rate-Adaptive Task Offloading Under Latency Constraints in Serverless Edge Computing-Reference-Cited by-同舟云学术

Online Learning for Rate-Adaptive Task Offloading Under Latency Constraints in Serverless Edge Computing

Published:2023-04 Issue:2 Volume:31 Page:695-709
ISSN:1063-6692
Container-title:IEEE/ACM Transactions on Networking
language:
Short-container-title:IEEE/ACM Trans. Networking

Author:

Tütüncüoğlu Feridun¹^ORCID,Jošilo Slađana¹^ORCID,Dán György¹^ORCID

Affiliation:

1. Division of Network and Systems Engineering, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

Funder

Vinnova Center for Trustworthy Edge Computing Systems and Applications

Swedish Research Council

Swedish National Infrastructure for Computing (SNIC) at Linköping University through the Swedish Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/90/10103748/09868090.pdf?arnumber=9868090

Reference44 articles.

1. A Stochastic Control Approach to Maximize Profit on Service Provisioning for Mobile Cloudlet Platforms

2. Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-Dual Algorithm

3. Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing

4. Price-based distributed algorithms for rate-reliability tradeoff in network utility maximization

5. Technical Note—A Note on Waiting Times in Single Server Queues

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