Double resource optimization for a robust computer network subject to a transmission budget
Yi-Kuei Lin () and
Shin-Guang Chen ()
Additional contact information
Yi-Kuei Lin: National Taiwan University of Science and Technology
Shin-Guang Chen: Tungnan University
Annals of Operations Research, 2016, vol. 244, issue 1, No 9, 133-162
Abstract:
Abstract To maintain a reliable computer network is now a challenge in our daily business operations especially when the transmission budget is limited. A computer network usually consists of transmission lines and transmission facilities, both of which may suffer failure, partial failure, or be in maintenance. Such a computer network is called a stochastic-flow network, since both kinds of resources are stochastic in nature. The problem of double resource optimization for a robust computer network subject to a transmission budget (DROCNTB) is to search for the exact minimum double-resource assignments under transmission-budget constraint such that the computer network keeps survived even under both kinds of failures. This paper develops an efficient algorithm to search for the exact optimal assignment for the DROCNTB problem. Several benchmark examples are explored and compared. The results show that the proposed algorithm is very efficient.
Keywords: Network reliability; Double-resource assignment; Robustness; Critical analysis; Structural analysis; Transmission Budget (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1007/s10479-014-1742-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:244:y:2016:i:1:d:10.1007_s10479-014-1742-z
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-014-1742-z
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().