An End-to-End Framework for Benchmarking Edge-Cloud Cluster Management Techniques-Reference-Cited by-同舟云学术

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An End-to-End Framework for Benchmarking Edge-Cloud Cluster Management Techniques

Published:2022-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Cloud Engineering (IC2E)
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Author:

Raith Philipp¹,Rausch Thomas¹,Pruller Paul¹,Furutanpey Alireza¹,Dustdar Schahram¹

Affiliation:

1. TU Wien,Distributed Systems Group,Vienna,Austria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9946295/9946237/09946322.pdf?arnumber=9946322

Reference22 articles.

1. Pipesim: Trace-driven simulation of large-scale ai operations platforms;rausch;ArXiv Preprint,2020

2. A system for operating energy-aware cloudlets

3. Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing

4. Multipath Computation Offloading for Mobile Augmented Reality

5. WireGuard: Next Generation Kernel Network Tunnel

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SimuScale: Optimizing Parameters for Autoscaling of Serverless Edge Functions Through Co-Simulation;2024 IEEE 17th International Conference on Cloud Computing (CLOUD);2024-07-07

2. faas‐sim: A trace‐driven simulation framework for serverless edge computing platforms;Software: Practice and Experience;2023-10-18

3. Towards a Benchmark for Fog Data Processing;2023 IEEE International Conference on Cloud Engineering (IC2E);2023-09-25

4. Edge AI Patterns;Artificial Intelligence and Mobile Services – AIMS 2023;2023

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