Bioinspired Policy Based Management (bioPBM)for Autonomic Communication Systems

Sasitharan Balasubramaniam; K. Barrett; W. Donnelly; J. Strassner; S. Van Der Meer

Bioinspired Policy Based Management (bioPBM)for Autonomic Communication Systems

Sasitharan Balasubramaniam, K. Barrett, W. Donnelly, J. Strassner, S. Van Der Meer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The tremendous development of Internet infrastructures as well as communication technologies has led to an increase in network management complexity. Autonomic control is one way to manage complexity. Policy Based Management Systems (PBMS) provide a consistent model for decision making using a set of abstractions (i.e., to manage the system in a manner that is independent from the complexities of low level network technologies). In this paper, we develop a hierarchical bio-inspired PBMS based on mechanisms for organism regulation that supports self-organisation and self-management at different levels of the hierarchy. We employ this mechanism towards network management of autonomic communications systems.

Original language	English
Title of host publication	Proceedings of Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06)
Publisher	IEEE
Pages	3-12
Publication status	Published - 2006

Cite this

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title = "Bioinspired Policy Based Management (bioPBM)for Autonomic Communication Systems",

abstract = "The tremendous development of Internet infrastructures as well as communication technologies has led to an increase in network management complexity. Autonomic control is one way to manage complexity. Policy Based Management Systems (PBMS) provide a consistent model for decision making using a set of abstractions (i.e., to manage the system in a manner that is independent from the complexities of low level network technologies). In this paper, we develop a hierarchical bio-inspired PBMS based on mechanisms for organism regulation that supports self-organisation and self-management at different levels of the hierarchy. We employ this mechanism towards network management of autonomic communications systems.",

author = "Sasitharan Balasubramaniam and K. Barrett and W. Donnelly and J. Strassner and {Van Der Meer}, S.",

year = "2006",

language = "English",

pages = "3--12",

booktitle = "Proceedings of Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06)",

publisher = "IEEE",

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Bioinspired Policy Based Management (bioPBM)for Autonomic Communication Systems. / Balasubramaniam, Sasitharan; Barrett, K.; Donnelly, W. et al.
Proceedings of Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06). IEEE, 2006. p. 3-12.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bioinspired Policy Based Management (bioPBM)for Autonomic Communication Systems

AU - Balasubramaniam, Sasitharan

AU - Barrett, K.

AU - Donnelly, W.

AU - Strassner, J.

AU - Van Der Meer, S.

PY - 2006

Y1 - 2006

N2 - The tremendous development of Internet infrastructures as well as communication technologies has led to an increase in network management complexity. Autonomic control is one way to manage complexity. Policy Based Management Systems (PBMS) provide a consistent model for decision making using a set of abstractions (i.e., to manage the system in a manner that is independent from the complexities of low level network technologies). In this paper, we develop a hierarchical bio-inspired PBMS based on mechanisms for organism regulation that supports self-organisation and self-management at different levels of the hierarchy. We employ this mechanism towards network management of autonomic communications systems.

AB - The tremendous development of Internet infrastructures as well as communication technologies has led to an increase in network management complexity. Autonomic control is one way to manage complexity. Policy Based Management Systems (PBMS) provide a consistent model for decision making using a set of abstractions (i.e., to manage the system in a manner that is independent from the complexities of low level network technologies). In this paper, we develop a hierarchical bio-inspired PBMS based on mechanisms for organism regulation that supports self-organisation and self-management at different levels of the hierarchy. We employ this mechanism towards network management of autonomic communications systems.

UR - http://doi.ieeecomputersociety.org/10.1109/POLICY.2006.12

M3 - Conference contribution

SP - 3

EP - 12

BT - Proceedings of Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06)

PB - IEEE

ER -

Bioinspired Policy Based Management (bioPBM)for Autonomic Communication Systems

Abstract

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