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Differentiated Quality of Service in Application Layer Active Networks.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

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Differentiated Quality of Service in Application Layer Active Networks. / Roadknight, Chris; Marshall, Ian W.
Active Networks. ed. / Hiroshi Yasuda. 1942. ed. Berlin ; London: Springer, 2000. p. 358-370 (Lecture Notes in Computer Science).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Roadknight, C & Marshall, IW 2000, Differentiated Quality of Service in Application Layer Active Networks. in H Yasuda (ed.), Active Networks. 1942 edn, Lecture Notes in Computer Science, Springer, Berlin ; London, pp. 358-370. https://doi.org/10.1007/3-540-40057-5_26

APA

Roadknight, C., & Marshall, I. W. (2000). Differentiated Quality of Service in Application Layer Active Networks. In H. Yasuda (Ed.), Active Networks (1942 ed., pp. 358-370). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/3-540-40057-5_26

Vancouver

Roadknight C, Marshall IW. Differentiated Quality of Service in Application Layer Active Networks. In Yasuda H, editor, Active Networks. 1942 ed. Berlin ; London: Springer. 2000. p. 358-370. (Lecture Notes in Computer Science). doi: 10.1007/3-540-40057-5_26

Author

Roadknight, Chris ; Marshall, Ian W. / Differentiated Quality of Service in Application Layer Active Networks. Active Networks. editor / Hiroshi Yasuda. 1942. ed. Berlin ; London : Springer, 2000. pp. 358-370 (Lecture Notes in Computer Science).

Bibtex

@inbook{ff7fdfa587904464ad91a96e2c5b01d2,
title = "Differentiated Quality of Service in Application Layer Active Networks.",
abstract = "A novel approach to quality of service control in an active service network (application layer active network) is described. The approach makes use of a distributed genetic algorithm based on the unique methods that bacteria use to transfer and share genetic material. We have used this algorithm in the design of a robust adaptive control system for the active nodes in an active service network. The system has been simulated and results show that it can offer clear differentiation of active services. The algorithm places the right software, at the right place, in the right proportions; allows different time dependencies to be satisfied and simple payment related increases in performance.",
author = "Chris Roadknight and Marshall, {Ian W.}",
note = "ISSN: 0302-9743 (Print) 1611-3349 (Online) 2nd international working conference, IWAN 2000, Tokyo, Japan, October 16-18, 2000 : proceedings",
year = "2000",
doi = "10.1007/3-540-40057-5_26",
language = "English",
isbn = "3540411798",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "358--370",
editor = "Hiroshi Yasuda",
booktitle = "Active Networks",
edition = "1942",

}

RIS

TY - CHAP

T1 - Differentiated Quality of Service in Application Layer Active Networks.

AU - Roadknight, Chris

AU - Marshall, Ian W.

N1 - ISSN: 0302-9743 (Print) 1611-3349 (Online) 2nd international working conference, IWAN 2000, Tokyo, Japan, October 16-18, 2000 : proceedings

PY - 2000

Y1 - 2000

N2 - A novel approach to quality of service control in an active service network (application layer active network) is described. The approach makes use of a distributed genetic algorithm based on the unique methods that bacteria use to transfer and share genetic material. We have used this algorithm in the design of a robust adaptive control system for the active nodes in an active service network. The system has been simulated and results show that it can offer clear differentiation of active services. The algorithm places the right software, at the right place, in the right proportions; allows different time dependencies to be satisfied and simple payment related increases in performance.

AB - A novel approach to quality of service control in an active service network (application layer active network) is described. The approach makes use of a distributed genetic algorithm based on the unique methods that bacteria use to transfer and share genetic material. We have used this algorithm in the design of a robust adaptive control system for the active nodes in an active service network. The system has been simulated and results show that it can offer clear differentiation of active services. The algorithm places the right software, at the right place, in the right proportions; allows different time dependencies to be satisfied and simple payment related increases in performance.

U2 - 10.1007/3-540-40057-5_26

DO - 10.1007/3-540-40057-5_26

M3 - Chapter

SN - 3540411798

T3 - Lecture Notes in Computer Science

SP - 358

EP - 370

BT - Active Networks

A2 - Yasuda, Hiroshi

PB - Springer

CY - Berlin ; London

ER -