Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking Article Swipe
Tianshu Hao
,
Yunyou Huang
,
Xu Wen
,
Wanling Gao
,
Fan Zhang
,
Zheng Chen
,
Lei Wang
,
Hainan Ye
,
Kai Hwang
,
Zujie Ren
,
Jianfeng Zhan
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1908.01924
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1908.01924
In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues. So for edge computing benchmarking, we must take an end-to-end view, considering all three layers: client-side devices, edge computing layer, and cloud servers. Unfortunately, the previous work ignores this most important point. This paper presents the BenchCouncil's coordinated e ort on edge AI benchmarks, named Edge AIBench. In total, Edge AIBench models four typical application scenarios: ICU Patient Monitor, Surveillance Camera, Smart Home, and Autonomous Vehicle with the focus on data distribution and workload collaboration on three layers. Edge AIBench is a part of the open-source AIBench project, publicly available from http://www.benchcouncil.org/AIBench/index.html. We also build an edge computing testbed with a federated learning framework to resolve performance, privacy, and security issues.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1908.01924
- https://arxiv.org/pdf/1908.01924
- OA Status
- green
- Cited By
- 6
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2964729950
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2964729950Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.1908.01924Digital Object Identifier
- Title
-
Edge AIBench: Towards Comprehensive End-to-end Edge Computing BenchmarkingWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-08-06Full publication date if available
- Authors
-
Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Zheng Chen, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng ZhanList of authors in order
- Landing page
-
https://arxiv.org/abs/1908.01924Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/1908.01924Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/1908.01924Direct OA link when available
- Concepts
-
Edge computing, Benchmarking, Computer science, Testbed, Enhanced Data Rates for GSM Evolution, Cloud computing, Server, Focus (optics), Edge device, Workload, Computer security, Computer network, Operating system, Artificial intelligence, Physics, Marketing, Optics, BusinessTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2022: 4, 2021: 1, 2019: 1Per-year citation counts (last 5 years)
- References (count)
-
12Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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