On-Demand Monitoring: a Monitoring Paradigm for Traffic Flows in Multi-Service Self-Managing Networks [Elektronische Ressource] / Ranganai Chaparadza. Betreuer: Ina Schieferdecker
243 pages

Découvre YouScribe en t'inscrivant gratuitement

Je m'inscris

On-Demand Monitoring: a Monitoring Paradigm for Traffic Flows in Multi-Service Self-Managing Networks [Elektronische Ressource] / Ranganai Chaparadza. Betreuer: Ina Schieferdecker

Découvre YouScribe en t'inscrivant gratuitement

Je m'inscris
Obtenez un accès à la bibliothèque pour le consulter en ligne
En savoir plus
243 pages
Obtenez un accès à la bibliothèque pour le consulter en ligne
En savoir plus

Description

On-Demand Monitoring: a Monitoring Paradigm for Traffic Flows in Multi-Service Self-Managing Networks vorgelegt von Diplom-Ingenieur Ranganai Chaparadza aus Simbabwe, (derzeit aus Berlin) Von der Fakulta¨t IV - Elektrotechnik und Informatik der Technischen Universita¨t Berlin zur Erlangung des akademischen Grades Doktor der Ingenieurwissenschaften - Dr.-Ing. - genehmigte Dissertation Promotionsausschuss: Vorsitzender: Prof. Dr. Küpper Berichter: Prof. Dr.-Ing. Ina Schieferdecker Berichter: Prof. Dr.-Eng. Symeon Papavassiliou Berichter: Prof. Shiduan Cheng Tag der wissenschaftlichen Aussprache: 27.07.2011 Berlin 2012 D 83 ODM-Paradigm for Traffic-Flow-Monitoring in Multi-Service Self-Managing Networks: Copyright by Ranganai Chaparadza: 2011 Page i On-Demand Monitoring: a Monitoring Paradigm for Traffic Flows in Multi-Service Self-Managing Networks PhD-Thesis, TU Berlin, 27.07.2011 Copyright By Ranganai Chaparadza 2011 ODM-Paradigm for Traffic-Flow-Monitoring in Multi-Service Self-Managing Networks: Copyright by Ranganai Chaparadza: 2011 Page ii The Dissertation Committee for Ranganai Chaparadza Certifies that this is the approved version of the following dissertation: On-Demand Monitoring: a Monitoring Paradigm for Traffic Flows in Multi-Service Self-Managing Networks Committee: Chairman: Prof. Dr. Küpper (TUB) Prof. Dr.-Ing.

Sujets

Informations

Publié par
Publié le 01 janvier 2012
Nombre de lectures 17
Poids de l'ouvrage 4 Mo

Extrait

On-Demand Monitoring: a Monitoring Paradigm for Traffic
Flows in Multi-Service Self-Managing Networks




vorgelegt von
Diplom-Ingenieur
Ranganai
Chaparadza
aus Simbabwe,
(derzeit aus Berlin)



Von der Fakulta¨t IV - Elektrotechnik und Informatik der
Technischen Universita¨t Berlin
zur Erlangung des akademischen Grades
Doktor der
Ingenieurwissenschaften
- Dr.-Ing. -
genehmigte Dissertation


Promotionsausschuss:

Vorsitzender: Prof. Dr. Küpper
Berichter: Prof. Dr.-Ing. Ina Schieferdecker
Berichter: Prof. Dr.-Eng. Symeon Papavassiliou
Berichter: Prof. Shiduan Cheng



Tag der wissenschaftlichen Aussprache: 27.07.2011





Berlin 2012

D 83

ODM-Paradigm for Traffic-Flow-Monitoring in Multi-Service Self-Managing Networks: Copyright by Ranganai Chaparadza: 2011

Page i


On-Demand Monitoring: a Monitoring Paradigm for Traffic Flows
in Multi-Service Self-Managing Networks



PhD-Thesis, TU Berlin, 27.07.2011



Copyright
By
Ranganai Chaparadza
2011



ODM-Paradigm for Traffic-Flow-Monitoring in Multi-Service Self-Managing Networks: Copyright by Ranganai Chaparadza: 2011

Page ii

The Dissertation Committee for Ranganai Chaparadza Certifies that this is the approved
version of the following dissertation:


On-Demand Monitoring: a Monitoring Paradigm for Traffic Flows in Multi-Service Self-
Managing Networks





Committee:
Chairman: Prof. Dr. Küpper (TUB)
Prof. Dr.-Ing. Ina Schieferdecker,
Supervisor (TUB, Germany)
Prof. Dr.-Eng. Symeon Papavassiliou
Second Advisor/Reviewer (NTUA,
Greece)
Prof. Shiduan Cheng
Third Advisor/Reviewer (BUPT,
China)




ODM-Paradigm for Traffic-Flow-Monitoring in Multi-Service Self-Managing Networks: Copyright by Ranganai Chaparadza: 2011

Page iii
On-Demand Monitoring: a Monitoring Paradigm for Traffic Flows in Multi-Service Self-
Managing Networks

PhD-Thesis, TU Berlin, 27.07.2011

By
Ranganai Chaparadza



Dissertation
Presented to the Faculty of Electrical Engineering and Computer Science (German: Fakultät
Elektrotechnik und Informatik der TU Berlin, FR5-1: Fakultät IV) of
The Technical University of Berlin (TUB), Germany
in Partial Fulfilment
of the Requirements
for the Degree of

Doctor of Engineering (Dr.-Ing)


Technical University of Berlin (TUB), Berlin, Germany
2011

ODM-Paradigm for Traffic-Flow-Monitoring in Multi-Service Self-Managing Networks: Copyright by Ranganai Chaparadza: 2011

Page iv




Dedication

To my father, the late Ezekiel, and my mother Tabeth, my brothers and sisters, my whole
family and friends.

My former school: Warsaw University of Technology (Politechnika Warszawska), Poland:
Faculty of Electronics and Information Technology: Institute of Telecommunications:
Department of Switching Systems, Routing Systems, Network Management, Formal Methods for
Specification and Validation of Communication Systems and Protocols. I obtained my
M.Eng/MSc degree in Telecommunications Engineering: Thesis Topic: Specification and
Validation of Multicast Mechanisms of the XTP Transport Protocol for High Speed Networks.

My former school: Gdansk Technical University (Politechnika Gdanska), Poland, where I
completed my early semesters in Telecommunications Engineering Studies, and then transferred
to Warsaw University of Technology.

My former school: University of Łódź, Poland, where I learnt polish language for foreigners.

My former school: Bernard Mizeki College (BMC), Zimbabwe, where I worked temporarily,
teaching form-5 science students.

My former high school: Murewa High School, Murewa, Zimbabwe, where I obtained my GCE
O-Level and A-Level Certificates by University of Cambridge (United Kingdom) in
Collaboration with the Ministry of Education of Zimbabwe.

My Primary School: Musvaire Primary School, Mutoko, Zimbabwe.



ODM-Paradigm for Traffic-Flow-Monitoring in Multi-Service Self-Managing Networks: Copyright by Ranganai Chaparadza: 2011

Page v




Acknowledgements

I completed this research work during the time I had many other responsibilities to shoulder. It
required a lot of energy and strong spirit to stay committed to achieve a number of objectives
simultaneously. I therefore thank God for the energy and strength He gave me to complete the
work under tight schedules and multi-tasking. I thank my advisor Prof. Dr.-Ing. Ina
Schieferdecker from Technical University of Berlin, whom I worked with for a number of years
in the Group she leads in Fraunhofer FOKUS Institute of Open Communication Systems, and we
achieved a lot together in both academic-oriented research as well as applied-research for
industrial solutions in the fields of software engineering, model-driven systems design and
testing methods for complex communication systems and applications as well as networking
research. Her advice was very much appreciated. I also want to thank my second
advisor/reviewer Prof. Dr.-Eng. Symeon Papavassiliou from the National Technical University
of Athens, Greece, whom I worked with in the European Commission funded FP7 EFIPSANS IP
Project, and he exchanged some ideas with me in the area of Autonomic Networking and Self-
Management. The technical discussions with him in the area were very good and inspiring. His
review comments to this dissertation were very much appreciated. I also want to thank my third
advisor/reviewer Prof. Shiduan Cheng from The State Key Lab of Networking & Switching
Technology of Beijing University of Posts and Telecommunications (BUPT), China, whom I
have worked with in the European Commission funded FP7 EFIPSANS IP Project. Her advice
and discussions we had in the field of Autonomic Networking and Self-Management were very
much appreciated. I co-organized a workshop with her in Beijing at the IPv6 Forum Summit in
2009, where she also organized a very good panel of experts from the academia and the industry,
and we discussed a lot of interesting views on the Self-Managing Future Internet powered by
IPv6 and Extensions to IPv6 towards IPv6++. I also want to thank my former student in Security
Testing in IPv6 Networks & friend Mikhail Peter who got very enthusiastic to join me in the
prototyping of the ODM-Probe presented in this work. I also want to thank people I made friends
with in this field over the years, and discussions with them were good and inspiring. One of
which is Prof. Vassilis Magraris from NTUA, Greece. Other names I always acknowledge for
their support are my mother Tabeth and father Ezekiel (late), my whole family (brothers and
sisters & their families in Zimbabwe, New Zealand, and Australia), Pastor P. Mugadza, Pastor
Kingsley Nimo, Tyson Nkani, and Małgorzata (Gosia) Kowalska— a dear friend who has always
been supportive to me. To other names I might have missed, I appreciate all your support you
gave me.


ODM-Paradigm for Traffic-Flow-Monitoring in Multi-Service Self-Managing Networks: Copyright by Ranganai Chaparadza: 2011

Page 1


On-Demand Monitoring Paradigm: a Monitoring Paradigm for Traffic Flows in Multi-
Service Self-Managing Networks

Publication No._____________


Ranganai Chaparadza, degree obtained: Dr.-Ing. (Doctor of Engineering).
Technical University of Berlin, Germany, 2011

Advisor: Prof. Dr.-Ing. Ina Schieferdecker (Technical University of Berlin, Germany)
Second Advisor/Reviewer:
Prof. Dr.-Eng. Symeon Papavassiliou (National Technical University of Athens, Greece)
Third Advisor/Reviewer:
Prof. Shiduan Cheng (The State Key Lab of Networking & Switching Technology of Beijing
University of Posts and Telecommunications (BUPT), China)

Abstract:
Traffic monitoring in information and telecommunication networks continues to experience a lot
of research as it increasingly plays a very significant role in implementing emerging and future
networks that self-adapt to changes in their usage context as well as to challenging adverse
conditions experienced by the network elements. Self-managing networks call for research on
the key design and operational principles for traffic monitoring components and platforms that
are suitable for multi-service self-managing networks.
A self-managing network is one whose network elements and network management systems
work co-operatively to perform so-called self-* operations, such as self-configuration, self-
diagnosing, self-repairing, self-optimization, all aimed at eliminating or drastically reducing
human intervention in the complex aspects of manual and error prone, or daunting tasks of
network management. In contrast to today’s non-self-managing networks, self-managing
networks require more computing resources for the c

  • Univers Univers
  • Ebooks Ebooks
  • Livres audio Livres audio
  • Presse Presse
  • Podcasts Podcasts
  • BD BD
  • Documents Documents