Autonomic Fault-Management and resilience from the perspective of the network operation personnel

• Main Authors: Tcholtchev, N, Chaparadza, R
• Format: Conference Proceeding
• Language: English
• Subjects: Autonomic Fault-Management; autonomic networking; control-loop; Fault-Isolation; Generic Autonomic Network Architecture (GANA) Model; Humans; Network Management System (NMS); OSS; Personnel; Process control; Protocols; Random access memory; Resilience; Synchronization
• ISSN: 2166-0077; 2166-0077
• DOI: 10.1109/GLOCOMW.2010.5700364

Autonomic networks are an emerging technology which is promising to reduce the complexity of human-driven network management processes and enable a variety of so-called self-* features such as self-configuration, self-optimization, etc, inside the network devices and the network as a whole. Autonomic behaviors are widely understood as a control loop implemented by an autonomic entity that automates management processes and controls diverse aspects of a set of resources. Though automation is necessary and achievable, autonomic decision-making-elements of the network can not fully perform decisions on every task of the network without requiring some degree of "a human-in-the-loop" in some of the decisions. From the operator's perspective, controllability of the control loop and decision notification from the autonomic network is a vital issue that needs to be addressed. In this paper we present our considerations on how an Autonomic Fault-Management control loop ("detect an incident" - "find the root cause behind it" - "remove the root cause") can be controlled by the network operation personnel.