Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
16
click to vote
CAISE
2000
Springer
favorite
Email
discuss
report
144
views
Information Technology
»
more
CAISE 2000
»
Adaptive and Dynamic Service Composition in eFlow
13 years 10 months ago
Download
www.hpl.hp.com
Fabio Casati, Ski Ilnicki, Li-jie Jin, Vasudev Kri
Real-time Traffic
CAISE 2000
|
Information Management
|
claim paper
Related Content
»
eFlow an Open Flexible and Configurable Approach to Service Composition
»
Dynamic Adaptive Service Architecture Towards Coordinated Service Composition
»
ReSCo A middleware component for Reliable Service Composition in pervasive systems
»
Towards Dynamic Matching of BusinessLevel Protocols in Adaptive Service Compositions
»
ValySeC A Variability Analysis Tool for Service Compositions Using VxBPEL
»
Adaptive Management of Composite Services under PercentileBased Service Level Agreements
»
A Dynamic Approach toward QoSAware Service Workflow Composition
»
Towards Dynamic Composition of Hybrid Communication Services
»
Where to adapt dynamic service compositions
more »
Post Info
More Details (n/a)
Added
02 Aug 2010
Updated
02 Aug 2010
Type
Conference
Year
2000
Where
CAISE
Authors
Fabio Casati, Ski Ilnicki, Li-jie Jin, Vasudev Krishnamoorthy, Ming-Chien Shan
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision