Title
Towards a Decision Approach for Autonomic Systems Adaptation
Abstract
The autonomic computing paradigm arises to tackle the complexity of today's dynamic heterogeneous and ubiquitous systems. The architecture of autonomic systems based on the MAPE-K loop dynamically adapts itself when the context changes. However, decisions within phases of the MAPE-K loop must be taken and therefore fit a suitable architecture. Ongoing researches take decisions upon context changes of the system and are a well studied topic in different fields, however, most of them use predefined decisions which do not cover all the contextual changes or decisions which support only a very specific type of application. In this work we propose an approach dealing with the decisions that must be taken within MAPE-K loop for system adaptation, in the context of autonomic computing. An exceptional architectural configuration of systems relies on consistent decisions taken by the analysis, planning and execution phases of the aforementioned loop. Autonomic systems undergo dynamic environment changes and therefore decisions lead the architectural configuration of the system to success or failure.
Year
DOI
Venue
2015
10.1145/2810362.2810377
ACM International Workshop on Mobility Management and Wireless Access
Field
DocType
Citations 
Architecture,Autonomic computing,Ubiquitous systems,Computer science,Distributed computing
Conference
1
PageRank 
References 
Authors
0.40
5
5