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AuthorGhaleb, Abdulaziz M.
AuthorKhalifa, Tarek
AuthorAyoubi, Sara
AuthorShaban, Khaled Bashir
AuthorAssi, Chadi
Available date2017-01-09T10:15:00Z
Publication Date2016-12
Publication NameIEEE Transactions on Network and Service Management
Identifierhttp://dx.doi.org/10.1109/TNSM.2016.2616283
CitationA. M. Ghaleb, T. Khalifa, S. Ayoubi, K. B. Shaban and C. Assi, "Surviving Multiple Failures in Multicast Virtual Networks With Virtual Machines Migration," in IEEE Transactions on Network and Service Management, vol. 13, no. 4, pp. 899-912, Dec. 2016.
ISSN1932-4537
URIhttp://hdl.handle.net/10576/5158
AbstractThis paper deals with the multiple link/node substrate failures that impact a multicast virtual network (MVN) in which link recovery is not feasible and node migration is mandatory. A novel restoration approach is introduced to repair the failed MVNs while maintaining their quality of service requirements (e.g., end-to-end delay and delay variations). This approach relies on reducing the search region and exploiting nodes ranking and filtering (NRF) techniques to speed up the recovery process of finding an alternative node to which to migrate. The performance is extensively evaluated against multiple failures, with and without NRF, compared with complete re-embedding technique, link failure algorithms for single link failure, and previous work for single node failure. Simulation results prove that our recovery technique achieves good restoration ratio in considerably fast execution time, low link mapping cost (gain) with a slight impact on the admission ratio.
SponsorThis work was made possible by NPRP 5-137-2-045 grant from the Qatar National Research Fund (a member of The Qatar Foundation).
Languageen
PublisherIEEE
Subjectvirtual networks survivability
network virtualization
multicast services
multicast virtual networks
multiple failures
Cloud networks
virtual network failures
TitleSurviving Multiple Failures in Multicast Virtual Networks With Virtual Machines Migration
TypeArticle
Pagination899-912
Issue Number4
Volume Number13
dc.accessType Abstract Only


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