Institutional Login
Welcome!
To use the personalized features of this site, please
log in
or
register
.
If you have forgotten your username or password, we can
help
.
My Menu
Marked Items
Alerts
Order History
Saved Items
All
Favorites
Content Types
All
Publications
Journals
Book Series
Books
Reference Works
Protocols
Subject Collections
Architecture and Design
Behavioral Science
Biomedical and Life Sciences
Business and Economics
Chemistry and Materials Science
Computer Science
Earth and Environmental Science
Engineering
Humanities, Social Sciences and Law
Mathematics and Statistics
Medicine
Physics and Astronomy
Professional and Applied Computing
中文(简体)
中文(繁體)
English
Deutsch
한국어
日本語
Français
Español
العربية
Русский
Book Chapter
Activity-Based Scheduling of IT Changes
Book Series
Lecture Notes in Computer Science
Publisher
Springer Berlin / Heidelberg
ISSN
0302-9743 (Print) 1611-3349 (Online)
Volume
Volume 4543/2007
Book
Inter-Domain Management
DOI
10.1007/978-3-540-72986-0
Copyright
2007
ISBN
978-3-540-72985-3
DOI
10.1007/978-3-540-72986-0_7
Pages
73-84
Subject Collection
Computer Science
SpringerLink Date
Saturday, July 07, 2007
Add to marked items
Add to shopping cart
Add to saved items
Permissions & Reprints
Recommend this chapter
PDF (252.3 KB)
Free Preview
Activity-Based Scheduling of IT Changes
David Trastour
1
, Maher Rahmouni
1
and Claudio Bartolini
2
(1)
HP Labs Bristol, UK
(2)
HP Labs Palo Alto, USA
Abstract
Change management is a disciplined process for introducing required changes onto the IT environment, with the underlying objective of minimizing disruptions to the business services as a result of performing IT changes. Currently, one of the most pressing problems in change management is the scheduling and planning of changes. Building on an earlier mathematical formulation of the change scheduling problem, in this paper we take the formulation of the problem one step further by breaking down the changes into the activities that compose them. We illustrate the theoretical viability of the approach, discuss the limit of its applicability to real life scenarios, describe heuristic techniques that promise to bridge the scalability gap and provide experimental validation for them.
David
Trastour
Email:
david.trastour@hp.com
Maher
Rahmouni
Email:
maher.rahmouni@hp.com
Claudio
Bartolini
Email:
claudio.bartolini@hp.com
Fulltext Preview (Small,
Large
)
References secured to subscribers.
more options
Find
Query Builder
Close
|
Clear
Title (ti)
Summary (su)
Author (au)
ISSN (issn)
ISBN (isbn)
DOI (doi)
And
Or
Not
(
)
* (wildcard)
"" (exact)
Within all content
Within this book series
Within this book
Export this chapter
Export this chapter as
RIS
|
Text
Frequently asked questions
|
General information on journals and books
|
Send us your feedback
|
Impressum
|
Contact
© Springer.
Part of Springer Science+Business Media
Privacy, Disclaimer, Terms and Conditions, © Copyright Information
MetaPress Privacy Policy
Remote Address: 38.107.191.110 • Server: MPWEB25
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)