Skip navigation
SuUB logo
DSpace logo

  • Home
  • Institutions
    • University of Bremen
    • City University of Applied Sciences
    • Bremerhaven University of Applied Sciences
  • Sign on to:
    • My Media
    • Receive email
      updates
    • Edit Account details

Citation link: http://nbn-resolving.de/urn:nbn:de:gbv:46-00105748-17
00105748-1.pdf
OpenAccess
 
copyright

Graph-Transfromational Swarms : A Graph-Transformational Approach to Swarm Computation


File Description SizeFormat
00105748-1.pdf5.53 MBAdobe PDFView/Open
Other Titles: Graph-Transformatorische Schwärme : Ein Graph-Transformatorischer Ansatz zur Swarm Computing
Authors: Abdenebaoui, Larbi  
Supervisor: Kreowski, Hans-Jörg
1. Expert: Kreowski, Hans-Jörg
2. Expert: Pannek, Jürgen
Abstract: 
Computer systems are becoming increasingly distributed and interconnected. Various emerging notions, such as smart grids, system of systems, industry 4.0 or cyber-physical systems have gained more and more importance during the last few years. All of them propose to solve engineering problems by using several autonomous components that act in parallel and are interconnected, foremost using Internet technologies. These emerging concepts look very promising, but also exhibit various technical challenges. For instance, how is it possible to develop decentralized control mechanisms that produce a desired emerging behavior to solve a given task or how to model such solutions in order to analyze their behavior in terms of complexity and correctness? These are two major questions that this thesis attempts to answer. Indeed, it provides graph-transformational swarms as a novel concept that combines the ideas and principles of swarms and swarm computing and the formal methods of graph transformation to model distributed systems. Graph-transformational swarms captures the advantages of swarms and swarm computing and of graph transformation.
Keywords: Swarm Computing, Graph Transformation, Parallelism, Distributed Systems
Issue Date: 13-Dec-2016
Type: Dissertation
URN: urn:nbn:de:gbv:46-00105748-17
Institution: Universität Bremen 
Faculty: FB3 Mathematik/Informatik 
Appears in Collections:Dissertationen

  

Page view(s)

57
checked on Jan 19, 2021

Download(s)

8
checked on Jan 19, 2021

Google ScholarTM

Check


Items in Media are protected by copyright, with all rights reserved, unless otherwise indicated.

Legal notice -Feedback -Data privacy
Media - Extension maintained and optimized by Logo 4SCIENCE