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Computer science
Overhead (engineering)
Visibility
Event (particle physics)
Control (management)
Distributed computing
Routing control plane
Data modeling
Forwarding plane
Internet of Things
Computer network
Artificial intelligence
Computer security
Database
Network packet
Operating system
Physics
Optics
Quantum mechanics
Yikai Lin
,
Yuru Shao
,
Xiao Zhu
,
Junpeng Guo
,
Kira Barton
,
Z. Morley Mao
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1145/3314148.3314351
· OA: W2935113390
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1145/3314148.3314351
· OA: W2935113390
Existing SDN controllers commonly adopt an event-driven model that minimizes southbound communication and control-plane overhead. This model satisfies most existing SDN applications' goals to maximize data plane performance while still being able to programmatically control with a decent level of visibility. However, as network composition becomes more heterogeneous with NFV and IoT, such model can be insufficient for future applications that rely more on data analysis and intelligent decision making.
Keywords: Computer science · Overhead (engineering) · Visibility · Event (particle physics) · Control (management) · Distributed computing · Routing control plane · Data modeling · Forwarding plane · Internet of Things · Computer network · Artificial intelligence · Computer security · Database
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