DocumentCode
1710366
Title
Multicast Tree Repair and Maintenance in the Cloud
Author
Ayoubi, Sara ; Yiheng Chen ; Assi, Chadi ; Khalifa, Tarek ; Shaban, Khaled Bashir
fYear
2015
Firstpage
829
Lastpage
835
Abstract
Network virtualization enables the multi-tenancy concept where multiple tenants´s services can cohabit the same substrate network and share its resources. With multi-tenancy, the problem of allocating resources to the various tenants emerges as a challenging problem. This former is commonly known as the virtual network embedding problem (VNE), which has attracted numerous effort from the research industry due to its NP-Hard nature. Yet, most of the existing work overlook the various modes of communication a virtual network (VN) can exhibit, assuming it is always a one-to-one communication between virtual machines (VMs). The recent technological advancements (such as Software Defined Networks (SDNs)) have paved the way for efficient multicast in data center networks, thereby leveraging the support of services and applications which multicast data in large volumes. While much work has been devoted for studying the problem of multicast virtual network (MVN) embedding in the cloud, little attention has been paid to investigating the impact of failure on this service class. In this paper, we study the impact of facility node failure on embedded MVNs, and introduce a novel post-failure restoration scheme to repair failed MVNs while maintaining their requested Quality of Service (QoS). Our numerical results prove that our suggested method achieves encouraging restoration ratio in considerably fast execution time.
Keywords
cloud computing; maintenance engineering; quality of service; system recovery; virtualisation; QoS; cloud computing; embedded MVN; facility node failure; maintenance; multicast tree repair; multicast virtual network; post-failure restoration scheme; quality of service; restoration ratio; Bandwidth; Delays; Maintenance engineering; Peer-to-peer computing; Quality of service; Substrates; Unicast;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Conference_Location
New York City, NY
Print_ISBN
978-1-4673-7286-2
Type
conf
DOI
10.1109/CLOUD.2015.114
Filename
7214124
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