Literature Database Entry

roth2007probabilistische

Gernot Roth, "Probabilistische Aufgabenverteilung in autonomen Systemen," Bachelor Thesis, Department of Computer Science, Friedrich–Alexander University of Erlangen–Nuremberg (FAU), October 2007. (Advisors: Gerhard Fuchs and Falko Dressler)

Abstract

Task allocation in self-organizing, self-configuring, self-healing, self-managing, and adaptive mobile systems is investigated closer within the scope of the ROSES-projekt. In this work it is determined the functionality and performance of a non deterministic, but only working on probabilitic methods task allocation with the aid of a OMNeT++ simulation. Thereby the nodes decide autonomous on the exposure with the tasks. This occurs on the basis of for each node individual specified probability on executing or forwarding of a task, with each node only able to execute a part of the tasks due to potential different hardware (e.G. camera, heat sensor). The basic request to secure each task is executed is accomplished, but the performance values (et.al. average response time, overhead) are partly not satisfying. Advantages are in low maintenance effort and good distribution of working load despite of little logic needed both in the net and the nodes. In my opinion this approach is eligible in certain cases but cannot rival with a classic deterministic approach in an overall point of view.

Quick access

BibTeX BibTeX

Contact

Gernot Roth

BibTeX reference

@phdthesis{roth2007probabilistische,
    author = {Roth, Gernot},
    title = {{Probabilistische Aufgabenverteilung in autonomen Systemen}},
    advisor = {Fuchs, Gerhard and Dressler, Falko},
    institution = {Department of Computer Science},
    location = {Erlangen, Germany},
    month = {10},
    school = {Friedrich--Alexander University of Erlangen--Nuremberg (FAU)},
    type = {Bachelor Thesis},
    year = {2007},
   }
   
   

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.