Enhancing the Isolation and Performance of Control Planes for Fog Computing
AbstractFog computing, which places computing resources close to IoT devices, can offer low latency data processing for IoT applications. With software-defined networking (SDN), fog computing can enable network control logics to become programmable and run on a decoupled control plane, rather than on a physical switch. Therefore, network switches are controlled via the control plane. However, existing control planes have limitations in providing isolation and high performance, which are crucial to support multi-tenancy and scalability in fog computing. In this paper, we present optimization techniques for Linux to provide isolation and high performance for the control plane of SDN. The new techniques are (1) separate execution environment (SE2), which separates the execution environments between multiple control planes, and (2) separate packet processing (SP2), which reduces the complexity of the existing network stack in Linux. We evaluate the proposed techniques on commodity hardware and show that the maximum performance of a control plane increases by four times compared to the native Linux while providing strong isolation. View Full-Text
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Lee, K.; Lee, C.; Hong, C.-H.; Yoo, C. Enhancing the Isolation and Performance of Control Planes for Fog Computing. Sensors 2018, 18, 3267.
Lee K, Lee C, Hong C-H, Yoo C. Enhancing the Isolation and Performance of Control Planes for Fog Computing. Sensors. 2018; 18(10):3267.Chicago/Turabian Style
Lee, Kyungwoon; Lee, Chiyoung; Hong, Cheol-Ho; Yoo, Chuck. 2018. "Enhancing the Isolation and Performance of Control Planes for Fog Computing." Sensors 18, no. 10: 3267.
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