Treffer: Enabling autonomic grid applications : Dynamic composition, coordination and interaction

Title:
Enabling autonomic grid applications : Dynamic composition, coordination and interaction
Source:
UPP 2004 : unconventional programming paradigms (15-17 September 2004, Mont Saint Michel, revised selected & invited papers)Lecture notes in computer science. :270-285
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 21 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
The Applied Software Systems Laboratory, Rutgers University, Piscataway NJ 08904, United States
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17134361
Database:
PASCAL Archive

Weitere Informationen

The increasing complexity, heterogeneity and dynamism of networks, systems and applications have made our computational and information infrastructure brittle, unmanageable and insecure. This has necessitated the investigation of an alternate paradigm for system and application design, which is based on strategies used by biological systems to deal with similar challenges of complexity, heterogeneity, and uncertainty, i.e. autonomic computing. Project AutoMate investigates conceptual models and implementation architectures to enable the development and execution of self-managing applications. It supports the definition of autonomic elements, the development of autonomic applications as the dynamic and opportunistic composition of these autonomic elements, and the policy, content and context driven execution and management of these applications. This paper introduces AutoMate architecture and describes the Rudder coordination framework and its use in enabling autonomic behaviors.