Paper Info
Title
An Overview Of A Decision Approach For Autonomic Applications Architectural Adaptation
Abstract
Adapting systems to the changes of their ubiquitous environments is a complex task. The autonomic computing was proposed as a solution to tackle this complexity. It brings a system with self-management capabilities to dynamically adapt itself to context. We are interested in the architectural adaptation approaches of autonomic applications which follow the MAPE-K loop process. During the execution of this loop, decisions are made in order to select the most suitable architectural configuration of the application according to context. In this paper, we study research activities dealing with decision. Then, we propose an overview of our decision approach to adapt autonomic applications. We also present an overview of our decision module which aims to assist developers on programming the decision-making process of their applications.
Year
DOI
Venue
2016
10.1109/HPCC-SmartCity-DSS.2016.70
PROCEEDINGS OF 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS; IEEE 14TH INTERNATIONAL CONFERENCE ON SMART CITY; IEEE 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS)
Keywords
Field
DocType
Ubiquitous environments, Autonomic applications, Architectural adaptation, Decision
Autonomic computing,Computer science,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Imen Abdennadher125.27
Ismael Bouassida Rodriguez26122.58
Mohamed Jmaiel3668110.41