Carrier grade high availability platforms are designed to enable the development and deployment of highly available services in the telecommunications industry. In order to build-in high availability and compare availabilities that differ in the sixth decimal place during the design phase, fairly detailed stochastic models are needed to evaluate the design and perform design tradeoffs. This paper describes an availability model for a high availability platform using three-level hierarchical decomposition that mixes reliability block diagrams and Markov chains. The model is built and evaluated using the SHARPS software package. Sensitivity analysis is performed to identify the effects of critical parameters
%0 Conference Paper
%1 trivedi2006modeling
%A Trivedi, K.S.
%A Vasireddy, Ranjith
%A Trindade, D.
%A Nathan, S.
%A Castro, R.
%B Dependable Computing, 2006. PRDC '06. 12th Pacific Rim International Symposium on
%D 2006
%K availability modeling
%P 154-164
%R 10.1109/PRDC.2006.45
%T Modeling High Availability
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4041900
%X Carrier grade high availability platforms are designed to enable the development and deployment of highly available services in the telecommunications industry. In order to build-in high availability and compare availabilities that differ in the sixth decimal place during the design phase, fairly detailed stochastic models are needed to evaluate the design and perform design tradeoffs. This paper describes an availability model for a high availability platform using three-level hierarchical decomposition that mixes reliability block diagrams and Markov chains. The model is built and evaluated using the SHARPS software package. Sensitivity analysis is performed to identify the effects of critical parameters
@inproceedings{trivedi2006modeling,
abstract = {Carrier grade high availability platforms are designed to enable the development and deployment of highly available services in the telecommunications industry. In order to build-in high availability and compare availabilities that differ in the sixth decimal place during the design phase, fairly detailed stochastic models are needed to evaluate the design and perform design tradeoffs. This paper describes an availability model for a high availability platform using three-level hierarchical decomposition that mixes reliability block diagrams and Markov chains. The model is built and evaluated using the SHARPS software package. Sensitivity analysis is performed to identify the effects of critical parameters},
added-at = {2014-08-28T11:24:51.000+0200},
author = {Trivedi, K.S. and Vasireddy, Ranjith and Trindade, D. and Nathan, S. and Castro, R.},
biburl = {https://www.bibsonomy.org/bibtex/221e3863e7ad76694e350cba43617f08d/avail_map_stud},
booktitle = {Dependable Computing, 2006. PRDC '06. 12th Pacific Rim International Symposium on},
description = {IEEE Xplore Abstract - Modeling High Availability},
doi = {10.1109/PRDC.2006.45},
interhash = {74d945d25229d028e0c15c8a91acd6f9},
intrahash = {21e3863e7ad76694e350cba43617f08d},
keywords = {availability modeling},
month = dec,
pages = {154-164},
timestamp = {2014-08-28T11:24:51.000+0200},
title = {Modeling High Availability},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4041900},
year = 2006
}