Jellyfish: Timely Inference Serving for Dynamic Edge Networks-Reference-Cited by-同舟云学术

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Jellyfish: Timely Inference Serving for Dynamic Edge Networks

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Real-Time Systems Symposium (RTSS)
language:
Short-container-title:

Author:

Nigade Vinod¹,Bauszat Pablo¹,Bal Henri¹,Wang Lin¹

Affiliation:

1. Vrije Universiteit Amsterdam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9984704/9984706/09984750.pdf?arnumber=9984750

Reference50 articles.

1. A close examination of performance and power characteristics of 4G LTE networks

2. INFaaS: Automated model-less inference serving;romero;USENIX ATC,2021

3. Understanding Operational 5G

4. Serving dnns like clockwork: Performance predictability from the bottom up;gujarati;USENIX OSDI,2020

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1. MoEI: Mobility-Aware Edge Inference Based on Model Partition and Service Migration;IEEE Transactions on Mobile Computing;2024-10

2. BCEdge: SLO-Aware DNN Inference Services With Adaptive Batch-Concurrent Scheduling on Edge Devices;IEEE Transactions on Network and Service Management;2024-08

3. X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

4. Sponge;Proceedings of the 4th Workshop on Machine Learning and Systems;2024-04-22

5. Model Selection for Latency-Critical Inference Serving;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22

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