Abstract
Multicast virtual network (MVN) cloud services have tight restrictions in terms of coverage, delay, delay variation, and reliability. However large disasters impose key challenges, and there are no known solutions that incorporate stochastic multi-failure risk into the MVN embedding process. Hence, this letter presents novel proactive “risk-aware” MVN mapping algorithms to improve resiliency and also incorporate efficiency. Simulation results show that the proposed schemes yield substantial performance gains versus existing MVN survivability methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
