Automated service oriented impact analysis and recovery alternative selection [Elektronische Ressource] / vorgelegt von David Schmitz

David Schmitz

Sujets

• Informatik

Informations

• Publié par: ludwig-maximilians-universitat_munchen
• Publié le: 01 janvier 2008
• Nombre de lectures: 22
• Langue: English
• Poids de l'ouvrage: 13 Mo

Extrait

Automated Service-Oriented Impact
Analysis and Recovery Alternative
Selection
Dissertation
an der
Fakulta¨t fu¨r Mathematik, Informatik und Statistik
der
Ludwig-Maximilians-Universita¨t Mu¨nchen
vorgelegt von
David Schmitz
Tag der Einreichung: 10. Juni 2008
Tag der mu¨ndlichen Pru¨fung: 16. Juli 2008
1. Berichterstatter: Professor Dr. Heinz-Gerd Hegering,
Ludwig-Maximilians-Universita¨t Mu¨nchen
2. Berichterstatterin: Professor Dr. Gabrijela Dreo Rodosek,
Universita¨t der Bundeswehr Mu¨nchenAutomated Service-Oriented Impact
Analysis and Recovery Alternative
Selection
Dissertation
an der
Fakulta¨t fu¨r Mathematik, Informatik und Statistik
der
Ludwig-Maximilians-Universita¨t Mu¨nchen
vorgelegt von
David Schmitz
Tag der Einreichung: 10. Juni 2008
Tag der mu¨ndlichen Pru¨fung: 16. Juli 2008
1. Berichterstatter: Professor Dr. Heinz-Gerd Hegering,
Ludwig-Maximilians-Universita¨t Mu¨nchen
2. Berichterstatterin: Professor Dr. Gabrijela Dreo Rodosek,
Universita¨t der Bundeswehr Mu¨nchenAcknowledgements
This thesis has been written as a part of my work as a researcher at the Leibniz
Supercomputing Center of the Bavarian Academy of Sciences and Humani-
ties. In addition to this it was done in close cooperation with the research
group of Prof. Dr. Heinz-Gerd Hegering at the University of Munich (LMU).
First of all, I would like to thank my doctoral advisor Prof. Dr. Heinz-Gerd
Hegering for his continued support and helpful advice as well as especially for
the numerous valuable discussions throughout the whole development of this
thesis. I would also give special thanks to my second advisor, Prof. Dr. Gabi
Dreo Rodosek, for giving me advice on the general research direction as well
as for many valuable discussions about particular research issues concerning
this thesis.
Second, I would like to thank my supervisors Dr. Victor Apostolescu and Dr.
Helmut Reiser at the Leibniz Supercomputing Center, who both provided me
the opportunity to integrate the work of the thesis into the work of our network
monitoring project.
Furthermore, I would also like to thank my colleagues of the Munich Network
Management Team at the Leibniz Supercomputing Center, the University of
Munich, and the University of Federal Armed Forces in Munich. Especially
I want to thank Dr. Andreas Hanemann, and Dr. Martin Sailer, who both
conducting related research contributed with many valuable discussions. In
general, many times the Munich Network Management Team provided the
opportunity for discussing particular research issues of this thesis. In this
context, I would like to thank Timo Baur, Latifa Boursas, Dr. Michael Bren-
ner, Dr. Thomas Buchholz, Dr. Vitalian Danciu, Nils Otto vor dem gentschen
Felde, Dr. Markus Garschhammer, Matthias Hamm, Iris Hochstatter, Dr.
Wolfgang Hommel, Dr. Bernhard Kempter, Ralf Ko¨nig, Silvia Knittl, An-
nette Kostelezky, Dr. Michael Krause, Feng Liu, Dr. Harald Ro¨lle, Thomas
Schaaf, Dr. Michael Schiffers, Dr. Georg Treu, and Mark Yampolskiy.
In addition to that, I would also like to thank Patricia Marcu and Marta Ga-
lochino, who both conducted related student work which I have supervised
and which has been helpful for the preparation of this thesis.
Last but not least, I would like to thank my mother for her continued support
during the preparation of the thesis.
Munich, August 2008
This work was supported in part by the EC IST-EMANICS Network of Excellence (#26854).Summary
The realization of today’s IT services are often very complex and depending
on a lot of used resources. In the event of a failure or degradation of one or
multiple of such resources there are two critical aspects: the impact analysis,
that is the analysis of the impact on the dependent services, as well as the
corresponding recovery of these services.
Concerning the recovery, for instance the selection of the resource to be fixed
first, the estimation of the necessary effort, and the response time are very
important.
In this thesis a framework for the impact analysis of currently occurring or
only assumed resource degradations on the provider’s services is developed.
This comprises impact on the functionality of the services, the quality of ser-
vice (QoS), the particular customers and service level agreements (SLAs), as
well as impact on the provider’s business by e.g., SLA violation costs, revenue
loss, or further related influences on finances or reputation.
Moreover, the framework includes an analysis and decision support for the
selection of appropriate recovery measures for a fast and efficient, partial or
complete compensation of the given resource degradations.
At last, the support for tracking actually realized recovery measures is treated
in order to allow the consolidation with potentially performed IT changes as
well as the notification of affected customers.
Each of the above mentioned parts of the developed framework includes a
treatment of the involved workflows, a correspondingly comprehensive and
integrated data modeling, as well as the application to concrete IT service
scenarios.Kurzfassung
Heutige IT-Dienste sind oft sehr komplex realisiert und von vielen zugrunde
liegenden Ressourcen abha¨ngig. Im Fehlerfall einer oder mehrerer solcher
Ressourcen sind die schnelle Analyse von Auswirkungen (impact analysis)
auf die damit realisierten Dienste sowie die Wiederherstellung (recovery) der
Dienste kritische Faktoren.
Fu¨r die Wiederherstellung ist z.B. die Wahl der zuerst zu reparierenden
Ressource, die Abscha¨tzung des erforderlichen Aufwands und der Reaktions-
zeit sehr wichtig.
In dieser Arbeit wird ein Rahmenwerk fu¨r die Analyse von Auswirkung-
en durch aktuell auftretende oder nur angenommene Ressourcenbeein-
tra¨chtigungen auf die Dienste eines Anbieters entwickelt. Dies beinhaltet
zuna¨chst Auswirkungen auf die Funktionalita¨t der Dienste, die Quality of Ser-
vice (QoS), die Kunden und Service Level Agreements (SLAs) sowie weit-
ergehend auch Folgen fu¨r das Business des Providers in Form von z.B. SLA-
Strafzahlungen, entgangenem Einkommen oder sonstigen finanziellen oder
den Ruf betreffenden Auswirkungen.
Weiter beinhaltet das Framework eine Analyse und Entscheidungshilfe fu¨r
die Wahl von geeigneten Wiederherstellungsmaßnahmen zur schnellen und
effizienten Kompensation oder sogar vollsta¨ndigen Aufhebung der gegebenen
Ressourcenbeeintra¨chtigungen.
Abschließend wird ebenfalls die Unterstu¨tzung der Verfolgung von den
tatsa¨chlich durchgefu¨hrten Wiederherstellungsmaßnahmen, zwecks der Kon-
¨solidierung von mo¨glichen erfolgten IT Anderungen und der Benachrichti-
gung von betroffenen Kunden, behandelt.
Jeder der oben genannten Teile des entwickelten Frameworks schließt jeweils
die Behandlung der beteiligten Workflows, eine entsprechend umfassende
und integrierte Datenmodellierung, sowie die Anwendung auf konkrete IT
Service-Szenarien ein.CONTENTS
1 Introduction 1
1.1 A Framework for Impact and Recovery Analysis . . . . . . . 2
1.2 Deficiencies of Today’s Impact Analysis and Recovery Plan-
ning Approaches . . . . . . . . . . . . . . . . . . . . . . . . 5
1.3 Thesis Outline . . . . . . . . . . . . . . . . . . . . . . . . . . 10
2 Requirements Analysis 13
2.1 Definition of Important Terms . . . . . . . . . . . . . . . . . 14
2.2 MNM Service Model . . . . . . . . . . . . . . . . . . . . . . 18
2.3 Service Example Scenario at the Leibniz Supercomputing
Center . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
2.4 Requirements . . . . . . . . . . . . . . . . . . . . . . . . . . 56
3 Related Work 69
3.1 Existing Approaches for I/R Analysis . . . . . . . . . . . . . 71
3.2 Related Work Concerning the Course of the I/R Analysis
Conceptually . . . . . . . . . . . . . . . . . . . . . . . . . . 74
3.3 Related Work for the Service Modeling in General . . . . . . 79
3.4 Related Works for Degradation and Quality Modeling . . . . . 93
3.5 Related Work for Business Impact Modeling and Recovery
Action Modeling . . . . . . . . . . . . . . . . . . . . . . . . 98
3.6 Related Work Concerning the Implementation of the Tasks
for I/R Analysis . . . . . . . . . . . . . . . . . . . . . . . . . 103
3.7 Assessment . . . . . . . . . . . . . . . . . . . . . . . . . . . 111
IContents
4 Impact Analysis and Impact Recovery Framework 119
4.1 Idea and Approach Taken . . . . . . . . . . . . . . . . . . . . 121
4.2 Basic Framework . . . . . . . . . . . . . . . . . . . . . . . . 124
4.3 Impact Analysis Framework . . . . . . . . . . . . . . . . . . 213
4.4 Recovery Analysis Framework . . . . . . . . . . . . . . . . . 290
4.5 Recovery Tracking Framework . . . . . . . . . . . . . . . . . 315
4.6 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331
5 Instantiation Methodology for Concrete Scenarios 333
5.1 Instantiation of the Impact and Recovery Analysis Framework
in General . . . . . . . . . . . . . . . . . . . . . . . . . . . . 334
5.2 Component Architecture Instantiation . . . . . . . . . . . . . 340
5.3 Top-Down Model Instantiation . . . . . . . . . . . . . . . . . 342
5.4 Summary . . . . . .