Paper Info
Title
Runtime Change of Collaboration Patterns in Autonomic Systems: Motivations and Perspectives
Abstract
Today's distributed systems are more and more complex, so they are required to be autonomic, i.e., to exhibit some self-* properties in order to manage themselves. Autonomic systems are usually composed of different components, which collaborate to achieve a global goal or to provide a high-level service. The collaboration pattern is usually defined statically, but the aim of this paper is to show that there are motivations to enable composed systems to change their collaboration pattern at runtime in an autonomous way, starting from some case studies. This capability of autonomic systems is called self-expression, meaning that a system can express itself despite unexpected situations. Moreover, we propose three perspective solutions that aim at enabling the change at runtime: role-based, description based, and Artificial Immune Systems (AIS)-inspired.
Year
DOI
Venue
2013
10.1109/WAINA.2013.82
Advanced Information Networking and Applications Workshops
Keywords
Field
DocType
global goal,collaboration pattern,perspective solution,runtime change,high-level service,different component,autonomic systems,case study,collaboration patterns,unexpected situation,artificial immune systems,autonomic system,ais,space exploration,immune system,robot kinematics,distributed systems,distributed processing,autonomic computing,software fault tolerance,collaboration
Artificial immune system,Autonomic computing,Object oriented methods,Computer science,Robot kinematics,Software fault tolerance,Space exploration,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-4952-1
4
0.43
References 
Authors
8
2
Name
Order
Citations
PageRank
Giacomo Cabri11018106.91
Nicola Capodieci28216.13