New Perspectives in Autonomic Design Patterns for Stream-Classification-Systems
Authors: Patrizio Dazzi, Francesco Nidito, Marco Pasquali
Comments: 4 pages, 9 figures
Abstract:
Nowadays, systems are growing in size and are becoming more and more
complex. Such a complexity suggests a new need for mechanisms that
enable the system to self-manage, freeing administrators of low-level
task management whilst delivering an optimized system. Autonomic
systems sense their operating environment and automatically take
action to change the environment or their own behavior. They are able
to achieve it with a minimum of human effort. This is because they
are: self-configuring, self-healing, selfoptimizing and
self-protecting. Current autonomic systems are ad hoc solutions: each
system is designed and implemented from scratch i.e., there are not
standard (or wellestablished) methodologies that autonomic system
designers and/or programmers can exploit to drive their work. In this
paper, we propose a design pattern that can be easily exploited by the
stream-classification-systems designer to achieve autonomicity with a
minimal effort. The pattern is described using a java-like notation
for the classes and interfaces. A simple UML class diagram is
depicted.
@inproceedings{WRASQ07New, author = {Patrizio Dazzi and Francesco Nidito and Marco Pasquali}, title = {New Perspectives in Autonomic Design Patterns for Stream-Classification-Systems}, booktitle= {Proceedings of The WRASQ -- WoRkshop on Automating Service Quality}, pages = {34--37}, address = {Atlanta, Georgia, USA}, year = {2007} }