Title :
Dissecting Self-* Properties
Author :
Berns, Andrew ; Ghosh, Sukumar
Author_Institution :
Dept. of Comput. Sci., Univ. of Iowa, Iowa City, IA, USA
Abstract :
The scale and complexity of distributed systems have steadily grown in the recent years. Management of this complexity has drawn attention towards systems that can automatically maintain themselves throughout different scenarios. These systems have been described with many terms, such as self-healing, self-stabilizing, self-organizing, self-adaptive, self-optimizing, self-protecting, and self-managing. These attributes are collectively referred to as self-* properties. Even with the increased focus on self-* research, there exists much ambiguity in the perceptions of the different self-* properties. In this paper, we propose to resolve the ambiguity by introducing a template for defining self-* properties, and use it to offer formal definitions of existing self-* terms. We then present some observations about the relationships among the different self-* properties. Finally, we propose two new self-* properties that are meaningful in this space.
Keywords :
distributed processing; fault tolerant computing; self-adjusting systems; software management; complexity management; distributed systems; self-* properties dissecting; self-adaptive systems; self-organizing systems; self-stabilizing systems; Cities and towns; Cloud computing; Computer network reliability; Computer science; Costs; Distributed computing; Internet; Peer to peer computing; Product safety; USA Councils; Masking and non-masking tolerance; safety and liveness properties; self-adaptive systems; self-healing; self-organizing; self-stabilizing;
Conference_Titel :
Self-Adaptive and Self-Organizing Systems, 2009. SASO '09. Third IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-4890-6
Electronic_ISBN :
978-0-7695-3794-8
DOI :
10.1109/SASO.2009.25