Abstract
Fog 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.
| Original language | English |
|---|---|
| Article number | 3267 |
| Journal | Sensors (Switzerland) |
| Volume | 18 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2018 Oct 1 |
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Keywords
- Fog computing
- Linux network stack
- Software-defined networking
ASJC Scopus subject areas
- Analytical Chemistry
- Atomic and Molecular Physics, and Optics
- Biochemistry
- Instrumentation
- Electrical and Electronic Engineering
Cite this
Enhancing the isolation and performance of control planes for fog computing. / Lee, Kyungwoon; Lee, Chiyoung; Hong, Cheol Ho; Yoo, Hyuck.
In: Sensors (Switzerland), Vol. 18, No. 10, 3267, 01.10.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Enhancing the isolation and performance of control planes for fog computing
AU - Lee, Kyungwoon
AU - Lee, Chiyoung
AU - Hong, Cheol Ho
AU - Yoo, Hyuck
PY - 2018/10/1
Y1 - 2018/10/1
N2 - Fog 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.
AB - Fog 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.
KW - Fog computing
KW - Linux network stack
KW - Software-defined networking
UR - http://www.scopus.com/inward/record.url?scp=85054072374&partnerID=8YFLogxK
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U2 - 10.3390/s18103267
DO - 10.3390/s18103267
M3 - Article
C2 - 30274194
AN - SCOPUS:85054072374
VL - 18
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
SN - 1424-8220
IS - 10
M1 - 3267
ER -