Rei Odaira, Jose G. Castanos, et al.
IISWC 2013
The goal of autonomic computing is to reduce the complexity and cost of large-scale computing systems by endowing them with the ability to manage themselves in accordance with high-level objectives specified by humans. This paper presents an architectural approach to autonomic computing that is compatible with service-oriented and agent-oriented architectures, and is based upon interactions among system components that we call self-managing resources. This paper recommends, and in some cases requires, specific behaviors and interfaces for self-managing resources, and discusses how interactions and relationships among them are established. Furthermore, it recommends several design patterns that engender the desired system-level properties of self-configuration, self-optimization, self-healing and self-protection. It explores and validates these architectural principles with a prototype autonomic data center called Unity. In the context of the Unity prototype, the paper demonstrates the efficacy of several design patterns, including a self-optimization design pattern that employs utility functions as a form of high-level objective, a self-configuration design pattern for goal-driven self assembly, and a self-healing design pattern that employs sentinels and a simple cluster re-generation strategy. © 2006 - IOS Press and the auther(s). All rights reserved.
Rei Odaira, Jose G. Castanos, et al.
IISWC 2013
Hannaneh Hajishirzi, Julia Hockenmaier, et al.
UAI 2011
David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
Victor Akinwande, Megan Macgregor, et al.
IJCAI 2024