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Enhancing the Isolation and Performance of Control Planes for Fog Computing.

Kyungwoon Lee1, Chiyoung Lee2, Cheol-Ho Hong3

  • 1Department of Computer Science and Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Korea. kwlee@os.korea.ac.kr.

Sensors (Basel, Switzerland)
|October 3, 2018
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Summary
This summary is machine-generated.

New techniques for Software-Defined Networking (SDN) control planes in fog computing significantly boost performance and isolation. These optimizations enhance multi-tenancy and scalability for Internet of Things (IoT) applications.

Keywords:
Linux network stackfog computingsoftware-defined networking

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Area of Science:

  • Computer Science
  • Networking
  • Distributed Systems

Background:

  • Fog computing enables low-latency data processing for IoT applications by situating resources near devices.
  • Software-Defined Networking (SDN) allows programmable network control logic on a decoupled control plane.
  • Existing SDN control planes lack the isolation and high performance needed for multi-tenant, scalable fog computing.

Purpose of the Study:

  • To present optimization techniques for Linux-based SDN control planes.
  • To enhance isolation and high performance crucial for fog computing environments.
  • To address limitations in current control plane architectures for multi-tenancy and scalability.

Main Methods:

  • Developed Separate Execution Environment (SE2) to isolate multiple control plane instances.
  • Introduced Separate Packet Processing (SP2) to simplify the Linux network stack.
  • Evaluated techniques on commodity hardware.

Main Results:

  • Achieved a four-fold increase in maximum control plane performance compared to native Linux.
  • Demonstrated strong isolation between control plane instances.
  • Validated effectiveness on standard hardware.

Conclusions:

  • The proposed SE2 and SP2 techniques significantly improve SDN control plane performance and isolation in fog computing.
  • These optimizations are vital for supporting scalable and multi-tenant IoT applications.
  • The techniques offer a practical solution for enhancing fog computing infrastructure.