Towards a model-driven architecture for autonomic systems

Denis Gračanin; Shawn A. Bohner; Michael Hinchey

Towards a model-driven architecture for autonomic systems

Denis Gračanin, Shawn A. Bohner, Michael Hinchey

Virginia Tech.

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

Abstract

Agent based systems and architectures provide a firm foundation for design and development of an autonomic system. The key challenge is the selection and efficient use of effective agent architecture. A model-driven approach accommodates the underlying architecture to automate, as much as possible, the development process. The Cognitive Agent Architecture (COUGAAR) is a distributed agent architecture that provides the primary components and an implementation platform for this research. COUGAAR has been developed primarily for very large-scale, distributed applications that are characterized by hierarchical task decompositions and as such is well suited for autonomic systems. We propose a framework for the agent-based, model-driven architecture for autonomic applications development. The framework consists of two main parts, General COUGAAR Application Model (GCAM) and General Domain Application Model (GDAM). Some COUGAAR related performance issues are also discussed.

Original language	English
Title of host publication	Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004
Editors	V. Dvorak, M. Sveda
Pages	500-505
Number of pages	6
Publication status	Published - 2004
Externally published	Yes
Event	Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004 - Brno, Czech Republic Duration: 24 May 2004 → 27 May 2004

Publication series

Name	Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004

Conference

Conference	Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004
Country/Territory	Czech Republic
City	Brno
Period	24/05/04 → 27/05/04

Cite this

Gračanin, D., Bohner, S. A., & Hinchey, M. (2004). Towards a model-driven architecture for autonomic systems. In V. Dvorak, & M. Sveda (Eds.), Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004 (pp. 500-505). (Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004).

Gračanin, Denis ; Bohner, Shawn A. ; Hinchey, Michael. / Towards a model-driven architecture for autonomic systems. Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004. editor / V. Dvorak ; M. Sveda. 2004. pp. 500-505 (Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004).

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title = "Towards a model-driven architecture for autonomic systems",

abstract = "Agent based systems and architectures provide a firm foundation for design and development of an autonomic system. The key challenge is the selection and efficient use of effective agent architecture. A model-driven approach accommodates the underlying architecture to automate, as much as possible, the development process. The Cognitive Agent Architecture (COUGAAR) is a distributed agent architecture that provides the primary components and an implementation platform for this research. COUGAAR has been developed primarily for very large-scale, distributed applications that are characterized by hierarchical task decompositions and as such is well suited for autonomic systems. We propose a framework for the agent-based, model-driven architecture for autonomic applications development. The framework consists of two main parts, General COUGAAR Application Model (GCAM) and General Domain Application Model (GDAM). Some COUGAAR related performance issues are also discussed.",

author = "Denis Gra{\v c}anin and Bohner, \{Shawn A.\} and Michael Hinchey",

year = "2004",

language = "English",

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series = "Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004",

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editor = "V. Dvorak and M. Sveda",

booktitle = "Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004",

note = "Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004 ; Conference date: 24-05-2004 Through 27-05-2004",

}

Gračanin, D, Bohner, SA & Hinchey, M 2004, Towards a model-driven architecture for autonomic systems. in V Dvorak & M Sveda (eds), Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004. Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004, pp. 500-505, Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004, Brno, Czech Republic, 24/05/04.

Towards a model-driven architecture for autonomic systems. / Gračanin, Denis; Bohner, Shawn A.; Hinchey, Michael.
Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004. ed. / V. Dvorak; M. Sveda. 2004. p. 500-505 (Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004).

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

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AB - Agent based systems and architectures provide a firm foundation for design and development of an autonomic system. The key challenge is the selection and efficient use of effective agent architecture. A model-driven approach accommodates the underlying architecture to automate, as much as possible, the development process. The Cognitive Agent Architecture (COUGAAR) is a distributed agent architecture that provides the primary components and an implementation platform for this research. COUGAAR has been developed primarily for very large-scale, distributed applications that are characterized by hierarchical task decompositions and as such is well suited for autonomic systems. We propose a framework for the agent-based, model-driven architecture for autonomic applications development. The framework consists of two main parts, General COUGAAR Application Model (GCAM) and General Domain Application Model (GDAM). Some COUGAAR related performance issues are also discussed.

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T3 - Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004

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BT - Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004

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Gračanin D, Bohner SA, Hinchey M. Towards a model-driven architecture for autonomic systems. In Dvorak V, Sveda M, editors, Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004. 2004. p. 500-505. (Proceedings - 11th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, ECBS 2004).

Towards a model-driven architecture for autonomic systems

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