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On Hardware Programmable Network Dynamics With a Chemistry-Inspired Abstraction.

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Title: On Hardware Programmable Network Dynamics With a Chemistry-Inspired Abstraction.
Authors: Monti, Massimo1, Sifalakis, Manolis2, Tschudin, Christian F.2, Luise, Marco3
Source: IEEE/ACM Transactions on Networking. Aug2017, Vol. 25 Issue 4, p2054-2067. 14p.
Subjects: Computer input-output equipment, Programmable circuits, Abstraction (Computer science), Algorithms, Chemical reactions, Computer networks, Visual communication
Abstract: Chemical algorithms are statistical control algorithms described and represented as chemical reaction networks. They are analytically tractable, they reinforce a deterministic state-to-dynamics relation, they have configurable stability properties, and they are directly implemented in state space using a high-level visual representation. These properties make them attractive solutions for traffic shaping and generally the control of dynamics in computer networks. In this paper, we present a framework for deploying chemical algorithms on field programmable gate arrays. Besides substantial computational acceleration, we introduce a low-overhead approach for hardware-level programmability and re-configurability of these algorithms at runtime, and without service interruption. We believe that this is a promising approach for expanding the control-plane programmability of software defined networks (SDN), to enable programmable network dynamics. To this end, the simple high-level abstractions of chemical algorithms offer an ideal northbound interface to the hardware, aligned with other programming primitives of SDN (e.g., flow rules). [ABSTRACT FROM AUTHOR]
Copyright of IEEE/ACM Transactions on Networking is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: On Hardware Programmable Network Dynamics With a Chemistry-Inspired Abstraction.
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  Data: <searchLink fieldCode="JN" term="%22IEEE%2FACM+Transactions+on+Networking%22">IEEE/ACM Transactions on Networking</searchLink>. Aug2017, Vol. 25 Issue 4, p2054-2067. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Computer+input-output+equipment%22">Computer input-output equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Programmable+circuits%22">Programmable circuits</searchLink><br /><searchLink fieldCode="DE" term="%22Abstraction+%28Computer+science%29%22">Abstraction (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Chemical+reactions%22">Chemical reactions</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+networks%22">Computer networks</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+communication%22">Visual communication</searchLink>
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  Data: Chemical algorithms are statistical control algorithms described and represented as chemical reaction networks. They are analytically tractable, they reinforce a deterministic state-to-dynamics relation, they have configurable stability properties, and they are directly implemented in state space using a high-level visual representation. These properties make them attractive solutions for traffic shaping and generally the control of dynamics in computer networks. In this paper, we present a framework for deploying chemical algorithms on field programmable gate arrays. Besides substantial computational acceleration, we introduce a low-overhead approach for hardware-level programmability and re-configurability of these algorithms at runtime, and without service interruption. We believe that this is a promising approach for expanding the control-plane programmability of software defined networks (SDN), to enable programmable network dynamics. To this end, the simple high-level abstractions of chemical algorithms offer an ideal northbound interface to the hardware, aligned with other programming primitives of SDN (e.g., flow rules). [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of IEEE/ACM Transactions on Networking is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=124750180
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        Value: 10.1109/TNET.2017.2674690
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 2054
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      – SubjectFull: Computer input-output equipment
        Type: general
      – SubjectFull: Programmable circuits
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      – SubjectFull: Abstraction (Computer science)
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      – SubjectFull: Algorithms
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      – SubjectFull: Chemical reactions
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      – SubjectFull: Computer networks
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      – SubjectFull: Visual communication
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      – TitleFull: On Hardware Programmable Network Dynamics With a Chemistry-Inspired Abstraction.
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              Text: Aug2017
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