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
3
click to vote
ORL
2007
favorite
Email
discuss
report
54
views
more
ORL 2007
»
Stationary remaining service time conditional on queue length
13 years 4 months ago
Download
www.tau.ac.il
In Mandelbaum and Yechiali (1979) a simple formula is derived for the expected stationary remaining service time in a FIFO M/G/1 queue, conditional on the number of customers
Karl Sigman, Uri Yechiali
Real-time Traffic
ORL 2007
|
Simple Formula
|
Stationary Remaining Service
|
claim paper
Related Content
»
Heavy Tails in MultiServer Queue
»
A conditional probability approach to MG1like queues
»
Analysis of alternatingpriority queueing models with cross correlated switchover times
»
Performance Analysis of a Fluid Queue with Random Service Rate in Discrete Time
»
Sojourn time distributions in the queue defined by a general QBD process
»
Tandem queues with subexponential service times and finite buffers
»
A fluid approximation for largescale service systems
»
Preliminary Results on a Simple Approach to GGcLike Queues
»
Classifying scheduling policies with respect to higher moments of conditional response tim...
more »
Post Info
More Details (n/a)
Added
27 Dec 2010
Updated
27 Dec 2010
Type
Journal
Year
2007
Where
ORL
Authors
Karl Sigman, Uri Yechiali
Comments
(0)
Researcher Info
ORL 1998 Study Group
Computer Vision