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
12
click to vote
SPAA
2006
ACM
favorite
Email
discuss
report
94
views
Distributed And Parallel Com...
»
more
SPAA 2006
»
Distributed random digraph transformations for peer-to-peer networks
14 years 5 days ago
Download
cone.informatik.uni-freiburg.de
Peter Mahlmann, Christian Schindelhauer
Real-time Traffic
Distributed And Parallel Computing
|
SPAA 2006
|
claim paper
Related Content
»
Peertopeer networks based on random transformations of connected regular undirected graphs
»
On Randomized and Deterministic Schemes for Routing and Sorting on FixedConnection Network...
»
Randomized Selfstabilizing Algorithms for Wireless Sensor Networks
»
A Pumping Algorithm for Ergodic Stochastic Mean Payoff Games with Perfect Information
»
Synchronization stability of complex dynamical networks with probabilistic timevarying del...
»
Rapid Distribution of Tasks on a Commodity Grid
»
Exploration of path space using sensor network geometry
»
Validating ModelDriven Performance Predictions on Random Software Systems
»
nCycle a set of algorithms for task distribution on a commodity grid
more »
Post Info
More Details (n/a)
Added
14 Jun 2010
Updated
14 Jun 2010
Type
Conference
Year
2006
Where
SPAA
Authors
Peter Mahlmann, Christian Schindelhauer
Comments
(0)
Researcher Info
Distributed And Parallel Computing Study Group
Computer Vision