Fault-tolerance and diagnosability of hierarchical star networks. Issue 2 (3rd April 2018)
- Record Type:
- Journal Article
- Title:
- Fault-tolerance and diagnosability of hierarchical star networks. Issue 2 (3rd April 2018)
- Main Title:
- Fault-tolerance and diagnosability of hierarchical star networks
- Authors:
- Gu, Mei-Mei
Hao, Rong-Xia
Jiang, Lei - Abstract:
- ABSTRACT: The hierarchical star networks, proposed by Shi and Srimani, is a new level network topology and uses the star graphs as building blocks. Given a graph G, the h -extra connectivity of G is the minimum cardinality of a set of vertices in G, if exists, whose deletion disconnects G and leaves every remaining component with more than h vertices. There is no known polynomial-time algorithm for finding for a given graph G . In this paper, by exploring the combinatorial properties and fault-tolerance of, we show that the largest component of a survival graph contains almost all of the remaining vertices after removing at most 4 n −8 vertices and obtain the h -extra connectivity for of, where . As applications, the conditional diagnosability and the h -extra conditional diagnosability for of under the PMC model and the MM* model, respectively, are obtained.
- Is Part Of:
- International journal of computer mathematics. Volume 3:Issue 2(2018)
- Journal:
- International journal of computer mathematics
- Issue:
- Volume 3:Issue 2(2018)
- Issue Display:
- Volume 3, Issue 2 (2018)
- Year:
- 2018
- Volume:
- 3
- Issue:
- 2
- Issue Sort Value:
- 2018-0003-0002-0000
- Page Start:
- 106
- Page End:
- 121
- Publication Date:
- 2018-04-03
- Subjects:
- Hierarchical star networks -- extra connectivity -- fault-tolerance -- conditional diagnosability -- extra conditional diagnosability
Computer systems -- Periodicals
Computer systems
Periodicals
004 - Journal URLs:
- http://www.tandfonline.com/loi/tcom20 ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/23799927.2018.1467488 ↗
- Languages:
- English
- ISSNs:
- 2379-9927
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 6788.xml