Self-adapting Strategies guided by Diagnosis and Situation Assessment in Collaborative Communicating Systems

Audine SUBIAS, Ernesto EXPOSITO, Christophe CHASSOT, Louise Travé-Massuyès, and Khalil DRIRA
Submission Type: 
Full Paper
Supporting Agencies (optional): 
LAAS-CNRS
AttachmentSizeTimestamp
phmc_10_119.pdf799.29 KBSeptember 20, 2010 - 12:57am

Coping with context changes in networked systems requires considering self-adaptive communication protocols in the design of the future generation of communication systems. The communication system configuration then dynamically
changes according to the user's requirements and to the load of the communication resources. Dealing with this problem requires the capacity of detecting the possible degradations of the Quality of Service (QoS) and of dynamically modifying the behavior of the communication protocols for each new context situation. This requires in turn both monitoring the QoS values, detecting the degradations, identifying their origins through appropriate diagnosis and executing reconfiguration actions. We propose to implement such functions by considering an event-based model-driven diagnosis approach leading the dynamic composition of communication protocols for the execution of the reconfiguration. We consider a chronicle-based diagnosis approach and we apply our ideas to the Transport layer of communication systems. In this position paper, we show the relevance of our ideas and present preliminary ideas towards an integrated automated approach.

Publication Control Number: 
119
Submission Keywords: 
Model-based diagnosis
communication protocols
self-adapting stategies
QoS
situation assessment
chronicle
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