期刊
IEEE ACCESS
卷 7, 期 -, 页码 39083-39097出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2892557
关键词
Software-defined Networks; flow updates; intents
资金
- National Natural Science Foundation of China [61571098, 61871097]
- Fundamental Research Funds for the Central Universities [ZYGX2016J217]
- 111 Project [B14039]
- Open Foundation of Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications [SKLNST-2016-2-24]
- China Scholarship Council [201806070026]
Flow updates are common in today's networks, and software-defined networking (SDN) enables network operators to reconfigure switches for updating flows easily. However, the implementation of flow updates requires to meet many different expectations regarding consistency, resource constraints, and performance. To carry updates out as intended, network operators often need to spend significant effort in update management, developing complex network optimizations and customized heuristics on a case-by-case basis. In this paper, we strive to simplify the flow updates in SDN networks. To this end, we present Atoman, a framework that uses high-level abstractions to capture various update intents and formulates flow updates problems as segment-based update scheduling optimizations to obtain satisfied update solutions. The captured update intents are translated into constraints and objectives of update scheduling optimizations. By extracting critical updating flows and employing decomposition techniques, Atoman can efficiently reduce the scale of problems in each solving and generate near-optimal update solutions. We conduct extensive simulations to evaluate Atoman and the simulation results show that Atoman significantly saves operator efforts in managing flow updates and provides comparable or better efficiency than prior customized solutions.
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