Self-Awareness in Computer Networks

Author:

Keller Ariane1,Borkmann Daniel2,Neuhaus Stephan1,Happe Markus1ORCID

Affiliation:

1. Communication Systems Group, ETH Zurich, Gloriastrasse 35, 8092 Zürich, Switzerland

2. Red Hat Switzerland, Europaallee 41, 8004 Zürich, Switzerland

Abstract

The Internet architecture works well for a wide variety of communication scenarios. However, its flexibility is limited because it was initially designed to provide communication links between a few static nodes in a homogeneous network and did not attempt to solve the challenges of today’s dynamic network environments. Although the Internet has evolved to a global system of interconnected computer networks, which links together billions of heterogeneous compute nodes, its static architecture remained more or less the same. Nowadays the diversity in networked devices, communication requirements, and network conditions vary heavily, which makes it difficult for a static set of protocols to provide the required functionality. Therefore, we propose a self-aware network architecture in which protocol stacks can be built dynamically. Those protocol stacks can be optimized continuously during communication according to the current requirements. For this network architecture we propose an FPGA-based execution environment called EmbedNet that allows for a dynamic mapping of network protocols to either hardware or software. We show that our architecture can reduce the communication overhead significantly by adapting the protocol stack and that the dynamic hardware/software mapping of protocols considerably reduces the CPU load introduced by packet processing.

Funder

European Union Seventh Framework Programme

Publisher

Hindawi Limited

Subject

Hardware and Architecture

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reinforcement Learning and Energy-Aware Routing;Proceedings of the 4th FlexNets Workshop on Flexible Networks Artificial Intelligence Supported Network Flexibility and Agility;2021-08-23

2. Self-aware Cyber-Physical Systems;ACM Transactions on Cyber-Physical Systems;2020-10-31

3. Reducing the Amount of Data for Creating Routes in a Dynamic DTN via Wi-Fi on the Basis of Static Data;Journal of Computer Networks and Communications;2017

4. Towards a Framework for the Levels and Aspects of Self-aware Computing Systems;Self-Aware Computing Systems;2017

5. Big Data and HPC Acceleration with Vivado HLS;FPGAs for Software Programmers;2016

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