Anti-fragile ICT Systems
Author(s):
Kjell Jørgen Hole
Open Access: BY-NC 4.0
Publication Date
Available in all formats
Publisher: Springer Nature
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Description
Table of contents
Keyword(s):
Computer Systems Organization and Communication Networks,
Information Systems and Communication Service,
Artificial Intelligence (incl. Robotics),
Simulation and Modeling,
anomaly detection, anti-fragility, cloud computing, complex adaptive systems, DevOps (Development and Operation), diversity, loose coupling
This book introduces a novel approach to the design and operation of large ICT systems. It views the technical solutions and their stakeholders as complex adaptive systems and argues that traditional risk analyses cannot predict all future incidents with major impacts. To avoid unacceptable events, it is necessary to establish and operate anti-fragile ICT systems that limit the impact of all incidents, and which learn from small-impact incidents how to function increasingly well in changing environments.
The book applies four design principles and one operational principle to achieve anti-fragility for different classes of incidents. It discusses how systems can achieve high availability, prevent malware epidemics, and detect anomalies. Analyses of Netflix’s media streaming solution, Norwegian telecom infrastructures, e-government platforms, and Numenta’s anomaly detection software show that cloud computing is essential to achieving anti-fragility forclasses of events with negative impacts.
Description
Subject(s):
Computer Systems Organization and Communication Networks,
Information Systems and Communication Service,
Artificial Intelligence (incl. Robotics),
Simulation and Modeling,
anomaly detection, anti-fragility, cloud computing, complex adaptive systems, DevOps (Development and Operation), diversity, loose coupling
This book introduces a novel approach to the design and operation of large ICT systems. It views the technical solutions and their stakeholders as complex adaptive systems and argues that traditional risk analyses cannot predict all future incidents with major impacts. To avoid unacceptable events, it is necessary to establish and operate anti-fragile ICT systems that limit the impact of all incidents, and which learn from small-impact incidents how to function increasingly well in changing environments.
The book applies four design principles and one operational principle to achieve anti-fragility for different classes of incidents. It discusses how systems can achieve high availability, prevent malware epidemics, and detect anomalies. Analyses of Netflix’s media streaming solution, Norwegian telecom infrastructures, e-government platforms, and Numenta’s anomaly detection software show that cloud computing is essential to achieving anti-fragility forclasses of events with negative impacts.
Table of contents
- Cover
- Frontmatter
- 1. The Concept of Anti-fragility
- 2. Anti-fragility to Downtime
- 3. Anti-fragility to Malware
- 4. Anomaly Detection
- 5. Future Anti-fragile Systems
- Backmatter