TY - GEN
T1 - Scalable resilient virtual network design algorithms for cloud services
AU - Harter, Isil Burcu Barla
AU - Hoffmann, Marco
AU - Schupke, Dominic A.
AU - Carle, Georg
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/19
Y1 - 2014/1/19
N2 - The dependency of businesses and private applications on cloud solutions is increasing day by day. Still, many businesses are reluctant to adopt cloud solutions mainly due to reliability concerns. Service degradation or outages can be caused both due to the cloud domain and the communication network connecting the users to the cloud, which are operated mainly by different entities. Network virtualization with combined control for network and IT domains enables an end-toend resilience design. Resilience, however, can be very costly due to requirements for redundant resources. Shared protection is a solution that offers a compromise between reduced redundant resource requirements and fast recovery. In this paper, we present a mathematical model for resilient virtual network design with shared protection for cloud services. Due to the scalability issues of the optimization model, we also provide two novel heuristic algorithms. Both algorithms are scalable, enable a near optimal resilient virtual network design with shared protection for cloud services. We show that shared protection offers 10-20% less cost and resource requirement compared with dedicated protection.
AB - The dependency of businesses and private applications on cloud solutions is increasing day by day. Still, many businesses are reluctant to adopt cloud solutions mainly due to reliability concerns. Service degradation or outages can be caused both due to the cloud domain and the communication network connecting the users to the cloud, which are operated mainly by different entities. Network virtualization with combined control for network and IT domains enables an end-toend resilience design. Resilience, however, can be very costly due to requirements for redundant resources. Shared protection is a solution that offers a compromise between reduced redundant resource requirements and fast recovery. In this paper, we present a mathematical model for resilient virtual network design with shared protection for cloud services. Due to the scalability issues of the optimization model, we also provide two novel heuristic algorithms. Both algorithms are scalable, enable a near optimal resilient virtual network design with shared protection for cloud services. We show that shared protection offers 10-20% less cost and resource requirement compared with dedicated protection.
KW - ILP
KW - Network virtualization
KW - Resilience
KW - Shared protection
KW - heuristic
UR - http://www.scopus.com/inward/record.url?scp=84946690589&partnerID=8YFLogxK
U2 - 10.1109/RNDM.2014.7014941
DO - 10.1109/RNDM.2014.7014941
M3 - Conference contribution
AN - SCOPUS:84946690589
T3 - Proceedings of 2014 6th International Workshop on Reliable Networks Design and Modeling, RNDM 2014
SP - 123
EP - 130
BT - Proceedings of 2014 6th International Workshop on Reliable Networks Design and Modeling, RNDM 2014
A2 - Rak, Jacek
A2 - Sterbenz, James P.G.
A2 - Sterbenz, James P.G.
A2 - Shen, Gangxiang
A2 - Walkowiak, Krzysztof
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Workshop on Reliable Networks Design and Modeling, RNDM 2014
Y2 - 17 November 2014 through 19 November 2014
ER -