Efficient privacy-preserving multicast in cloud data centers

He Li, Peng Li, Song Guo

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


Multicast is widely adopted by applications in cloud data centers. Due to the shortage of IP multicast groups, many efforts have been made to share multicast groups among multiple multicast sessions. However, existing group sharing schemes would lead to a serious privacy problem that some data will be exposed to receivers not belonging to the corresponding multicast session. In this paper, we propose a novel system called EPM for privacy-preserving multicast in cloud data centers. By enhancing a popular virtual machine manager Xen, it guarantees that the multicast packets received by each physical machine can be correctly forwarded only to virtual machines as destinations. Furthermore, we study a group assignment problem based on EPM to reduce redundant multicast traffic in cloud data centers, which will be solved by an efficient heuristic algorithm. We evaluate the effectiveness of EPM by implementing it on real systems, and conduct extensive experiments to show that the proposed algorithm can significantly reduce multicast traffic.
Original languageEnglish
Title of host publication2014 IEEE International Conference on Communications, ICC 2014
PublisherIEEE Computer Society
Number of pages6
ISBN (Print)9781479920037
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia
Duration: 10 Jun 201414 Jun 2014


Conference2014 1st IEEE International Conference on Communications, ICC 2014
CitySydney, NSW

ASJC Scopus subject areas

  • Computer Networks and Communications

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