Thinking autonomic for sensing devices

Abstract : his paper presents a middleware that aims to respond to the increasing management needs of networked sensing devices, such as remote software deployment, dynamic configuration and real-time performance monitoring and tuning. These are essential functions for building adaptable systems providing high quality of service. Furthermore, autonomic management bears particular importance for large scale systems having timely response requirements. Our middleware allows creating high-level policies that describe the actions to be autonomously performed when interesting events occur in the system. The policies are formulated as Event-Condition-Action (ECA) rules. They are created by using UML-like diagrams and can be deployed at any level of the distributed architecture of the system.
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Communication dans un congrès
IEEE. International Conference on Autonomic and Autonomous Systems, ICAS'10, Mar 2010, Cancun, Mexico. 2010, 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5442611〉. 〈10.1109/ICAS.2010.11〉
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https://hal.inria.fr/hal-00656939
Contributeur : Rémi Sharrock <>
Soumis le : jeudi 5 janvier 2012 - 15:20:06
Dernière modification le : mercredi 28 février 2018 - 10:23:14

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Remi Sharrock, Amin Cherbal, Levent Gurgen, Thierry Monteil, Shinichi Honiden. Thinking autonomic for sensing devices. IEEE. International Conference on Autonomic and Autonomous Systems, ICAS'10, Mar 2010, Cancun, Mexico. 2010, 〈http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5442611〉. 〈10.1109/ICAS.2010.11〉. 〈hal-00656939〉

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