期刊
2018 IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING (IEEE EDGE)
卷 -, 期 -, 页码 117-120出版社
IEEE
DOI: 10.1109/EDGE.2018.00023
关键词
-
资金
- NSF [1719342, 1719403, 1345232]
- Direct For Computer & Info Scie & Enginr [1719403] Funding Source: National Science Foundation
- Division Of Computer and Network Systems [1719403] Funding Source: National Science Foundation
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1719342] Funding Source: National Science Foundation
This paper discusses leveraging the Named Data Networking (NDN) architecture and Named Function Networking (NFN) to facilitate in-network edge computing. In the NDN context, we consider a the Augmented Reality (AR) use-case-a challenging application-to discuss how NDN functionalities can be leveraged for addressing inherent edge computing challenges, such as efficient resource discovery, compute re-use, mobility management, and security. We present several options to tackle the highlighted challenges and where possible provide solutions.
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