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What is Proactive Management

Emerging Automation Techniques for the Future Internet
Action in anticipation of an event or condition that may affect a system, based on a prediction that the event will occur, or the condition will arise.
Published in Chapter:
Self-Driving Networks
Kireeti Kompella (Juniper Networks, USA)
Copyright: © 2019 |Pages: 24
DOI: 10.4018/978-1-5225-7146-9.ch002
Abstract
This chapter presents a new vision of network operations, the self-driving network, that takes automation to the next level. This is not a description of existing work; rather, it is a challenge to dramatically rethink how we manage networks (or rather, how we do not manage networks). It draws upon an analogy with the development of self-driving cars and presents motivations for this effort. It then describes the technologies needed to implement this and an overall architecture of the system. As this endeavor will cause a major shift in network management, the chapter offers an evolutionary path to the end goal. Some of the consequences and human impacts of such a system are touched upon. The chapter concludes with some research topics and a final message. Key takeaways are that machine learning and feedback loops are fundamental to the solution; a key outcome is to build systems that are adaptive and predictive, for the benefit of users.
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Evolution of Business-Government Interaction Models: Their Use and Management
A management activity aimed at preventing negative trends during project implementation.
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