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AUS LINX AL-2012P DRIVER



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This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution CC BY license http: This article has been Aus Linx AL-2012P by other articles in PMC. Abstract Fog computing, which places computing resources close to IoT devices, can offer low latency data processing for IoT applications. Introduction The low latency requirement of the Internet of Things IoT has introduced a new computing paradigm called fog computing that places a small to medium size of computation resources e.

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Table 1 SDN controllers with programming language, Aus Linx AL-2012P operating systems, general architecture and the type of northbound API. Open in a separate window. Design This paper presents two optimization techniques for Linux specifically to enhance the isolation and performance of control planes in SDN.

Aus Linx AL-2012P Design Goals In developing optimization techniques, we focus on three principal goals as follows. Figure 1. Separate Packet Processing It is quite well known that the Linux network stack impairs the network performance due to unnecessary protocol handling and memory management overheads inside the kernel itself [ 57 ].

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Figure 2. Figure 3. Figure 4. Implementation The implementation environment is configured as follows: Figure 5. Evaluation In this section, we first evaluate how much performance improvement is made Aus Linx AL-2012P SE2 and SP2, respectively.

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Figure 6. Figure 7.

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Figure 8. Conclusions In this paper, we present optimizing techniques for Linux, SE2 and SP2, which provide isolated execution environments and high performance to control planes in Aus Linx AL-2012P.

Acknowledgments The authors are grateful to the anonymous reviewers for their valuable comments and suggestions. Author Contributions The work presented here was completed in collaboration between all authors. Conflicts of Interest Aus Linx AL-2012P authors declare no conflict of interest.

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References 1. Moreno-Vozmediano R. Cross-site virtual network in cloud and fog computing. Hakiri A.

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A survey of fog computing: A survey on the edge computing for the Internet of Things. IEEE Access. Willis D. Hong K. Corallus batesii. Henderson, R. Aus Linx AL-2012P crassus.

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Enhancing the Isolation and Performance of Control Planes for Fog Computing

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