Organic Computing

Doctoral Dissertation Colloquium 2015

Tomforde, Sven / Sick, Bernhard (Editor)

Mit Beiträgen von Baumgarten, Uwe / Calma, Adrian / Eberhardinger, Benedikt / Edenhofer, Sarah / Filieri, Antonio / Gruhl, Christian / Heck, Henner / Jänicke, Martin / Kantert, Jan / Kopal, Nils / Kosak, Oliver / Krefft, Daniel / Lukowicz, Paul / Lund, Andreas / Msadek, Nizar / Schiele, Gregor / Schiendorfer, Alexander / Shuka, Romeo / Sick, Bernhard / Tomforde, Sven

kassel university press, ISBN: 978-3-7376-0028-6, 2015, 188 Pages
(Intelligent Embedded Systems 7)

URN: urn:nbn:de:0002-400292

DOI: 10.19211/KUP9783737600293

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Content: This book consists of fourteen different contributions that can be grouped into five major categories reflecting the different aspects of current OC research in general: (1) trustworthiness, (2) swarm behaviour, (3) security and testing, (4) self-learning, and (5) hardware aspects.

Table of Content

Tomforde, Sven /
Sick, Bernhard:
Preface

Invited Keynotes
Lukowicz, Paul:Organic Cyber Social Systems
Schiele, Gregor:Towards the ProgrammableWorld – Challenges of Global IoTSystems

Invited Tutorial
Filieri, Antonio:Self-adaptive Software Meets Control Theory

Part I: Technical Trust in Organic Computing Systems
Schiendorfer, Alexander:A Soft Constraint Approach to Self-organising Systems
Kantert, Jan:Guided Self-organisation in Autonomous Open Distributed Systems
Edenhofer, Sarah:Bio-inspired Trust Mechanisms for Open, Heterogeneous Systems
Msadek, Nizar:Trust as a Principal Ingredient to Improve the Robustness of Self-organising Systems

Part II: Adaptive Swarm Organisation
Shuka, Romeo:Adaptive Swarm Search
Kosak, Oliver:A Decentralised Swarm Approach for Mobile Robot-Systems

Part III: Security and Test in Self-organised Systems
Heck, Henner:Towards a k-Resilient Data Dissemination Mechanism for Peer-to-Peer Networks
Kopal, Nils:An Architecture for Creating a Secure Unstructured Peer-to-Peer-Based Volunteer Computing Cloud
Eberhardinger, Benedikt:Test Case Generation for Self-organising Algorithms

Part IV: Self-learning Systems
Gruhl, Christian:Anomalies in Generative Trajectory Models – Discovering Suspicious Traces with Novelty Detection Methods
Jänicke, Martin:Self-adapting Multi-Sensor System Using Classifiers. Based on Gaussian Mixture Models
Calma, Adrian:4DSPro: A New Selection Strategy for Pool-based Active Learning

Part V: Hardware-related Aspects in Organic Computing Systems
Lund, Andreas:Designing a Bio-inspired, Hierarchical Middleware for a Self-organised Task-Allocation
Krefft, Daniel /
Baumgarten, Uwe:
Flexible Scheduling of Tasks for Self-adaptation in Mixed-critical Automotive Systems

Part VI: Working Group Results

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