Publications

The following publications give an overview of the ongoing work in the area of Organic Computing.
  • Organic Computing — A Paradigm Shift for Complex Systems

OC_CMS

This book summarises the results of a 6-year priority research program (SPP) of the German Research Foundation (DFG) addressing these fundamental challenges in the design of Organic Computing systems. It presents and discusses the theoretical foundations of Organic Computing, basic methods and tools, learning techniques used in this context, architectural patterns and many applications. The final outlook shows that in the mean-time Organic Computing ideas have spawned a variety of promising new projects.

Book information: 
Birkhäuser (2011), 627 pages
ISBN-10: 3034801297
ISBN-13: 978-3034801294

Springer    Amazon
  • Self-Organization in Embedded Real-Time Systems

SO_RealTime

This book describes the emerging field of self-organizing, multicore, distributed and real-time embedded systems.  Self-organization of both hardware and software can be a key technique to handle the growing complexity of modern computing systems. Distributed systems running hundreds of tasks on dozens of processors, each equipped with multiple cores, requires self-organization principles to ensure efficient and reliable operation. This book addresses various, so-called Self-X features such as self-configuration, self-optimization, self-adaptation, self-healing and self-protection.

Book information:
Springer (2012), 208 pages,
ISBN-10: 1461419689,
ISBN-13: 978-1461419686

Springer      Amazon
  • Organic Computing

OC_Wuertz

Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociology can be tackled scientifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature for creating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering, routing, face recognition, and sign language understanding.

Book information:
Springer (2008), 356 pages,
ISBN-10: 3540776567,
ISBN-13: 978-3540776567

Springer   Amazon
  • Autonomic Computing

Buch_4Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociology can be tackled scientifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature for creating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering, routing, face recognition, and sign language understanding.

Book information:
Springer (2013), 304 pages,
ISBN-10: 1447150066
ISBN-13: 978-1447150060

Springer   Amazon
Sign in
classic
Forgot password?
×
Sign up

(*) Required fields

I agree with OptimaSales Terms & Privacy Policy

×