Alfred Street (University of Auckland Store)
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Modern Big Data Architectures : A Multi-agent Systems Perspective
Hardback Edition: 1
Provides an up-to-date analysis of big data and multi-agent systems
The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together. A multi-agent system (MAS) is a self-organised computer system that comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and architecture for Big Data processing and analytics.
This unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets. Each chapter contains practical examples and detailed solutions suitable for a wide variety of applications. The author, an internationally-recognised expert in Big Data and distributed Artificial Intelligence, demonstrates how base concepts such as agent, actor, and micro-service have reached a point of convergence--enabling next generation systems to be built by incorporating the best aspects of the field.
Publisher : Wiley
Pages : 208
Publication date : 2020-03-31
Subjects: Non-fiction, Published in the USA, Science And Technology, Computing And IT, Computer Architecture & Logic Design