Software-defined Adaptive Resource Management for Cloud-hosted Group Communication Applications: Poster
Pages 339 - 340
Abstract
Many cloud-hosted applications and cloud infrastructure management services with publish/subscribe semantics rely heavily on the use of group communications. Although multicast is useful for efficient group communications, traditional IP multicast has seen very low adoption in cloud data center networks (DCNs) due to issues with its stability and scalability. The introduction of Software-defined Networking (SDN) in DCNs has provided new opportunities for re-engineering and effectively utilizing multicast capabilities that can overcome existing impediments to the adoption of IP multicast. To that end this paper presents an adaptive and flexible middleware solution called SDN-based Multicast (SDMC), which provides group communication capabilities in DCNs in a way that is both network load-aware and switch memory-efficient. Applications using SDMC remain agnostic to the underlying group communication semantics, which SDMC provides efficiently by dynamically adapting between unicast and multicast in accordance with changing network bandwidth and switch memory usage.
References
[1]
Dmitry Basin, Ken Birman, Idit Keidar, and Ymir Vigfusson. 2010. Sources of Instability in Data Center Multicast. In Proceedings of the 4th International Workshop on Large Scale Distributed Systems and Middleware (LADIS '10). 32--37.
[2]
W. Cui and C. Qian. 2015. Scalable and Load-Balanced Data Center Multicast. In 2015 IEEE Global Communications Conference (GLOBECOM). 1--6.
[3]
A. Iyer, P. Kumar, and V. Mann. 2014. Avalanche: Data center Multicast using software defined networking. In 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS). 1--8.
[4]
D. Kreutz, F.M.V. Ramos, P. Esteves Verissimo, C. Esteve Rothenberg, S. Azodolmolky, and S. Uhlig. 2015. Software-Defined Networking: A Comprehensive Survey. Proc. IEEE 103, 1 (2015), 14--76.
[5]
Xiaozhou Li and Michael J. Freedman. 2013. Scaling IP Multicast on Datacenter Topologies. In Proceedings of the Ninth ACM Conference on Emerging Networking Experiments and Technologies (CoNEXT '13). 61--72.
[6]
Cesar AC Marcondes, Tiago PC Santos, Arthur P Godoy, Caio C Viel, and Cesar AC Teixeira. 2012. CastFlow: Clean-slate multicast approach using in-advance path processing in programmable networks. In Computers and Communications (ISCC), 2012 IEEE Symposium on. IEEE, 000094--000101.
[7]
Ymir Vigfusson, Hussam Abu-Libdeh, Mahesh Balakrishnan, Ken Birman, Robert Burgess, Gregory Chockler, Haoyuan Li, and Yoav Tock. 2010. Dr. Multicast: Rx for Data Center Communication Scalability. In Proceedings of the 5th European Conference on Computer Systems (EuroSys '10). 349--362.
[8]
Han Wang, Ki Suh Lee, Erluo Li, Chiun Lin Lim, Ao Tang, and Hakim Weatherspoon. 2014. Timing is Everything: Accurate, Minimum Overhead, Available Bandwidth Estimation in High-speed Wired Networks. In Proceedings of the 2014 Conference on Internet Measurement Conference (IMC '14). 407--420.
Index Terms
- Software-defined Adaptive Resource Management for Cloud-hosted Group Communication Applications: Poster
Recommendations
Scalable and Adaptive Software Defined Network Management for Cloud-hosted Group Communication Applications
UCC '17: Proceedings of the10th International Conference on Utility and Cloud ComputingGroup communications form the primary communication pattern for many cloud-hosted applications and cloud infrastructure management services, such as system health monitoring, multimedia distribution, collaborative applications and distributed databases. ...
Protocol design for scalable and adaptive multicast for group communications
ICNP '08: Proceedings of the 2008 IEEE International Conference on Network ProtocolsCurrently, IP multicast and Explicit Multi-Unicast (Xcast) are two approaches for multicast communications. IP multicast is designed for large groups but is not scalable in terms of the group number because every router in a multicast tree needs to ...
Software Defined Mobile Cloudlet
Using cloudlets in mobile networks mitigates the resource limitation of mobile devices to process the applications with rich media content and highly interaction. However, this approach changes the original traffic routing path of mobile networks and ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
June 2017
393 pages
ISBN:9781450350655
DOI:10.1145/3093742
Copyright © 2017 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 08 June 2017
Check for updates
Author Tags
Qualifiers
- Extended-abstract
- Research
- Refereed limited
Funding Sources
- United States National Science Foundation
Conference
DEBS '17: The 11th ACM International Conference on Distributed and Event-based Systems
June 19 - 23, 2017
Barcelona, Spain
Acceptance Rates
DEBS '17 Paper Acceptance Rate 22 of 60 submissions, 37%;
Overall Acceptance Rate 145 of 583 submissions, 25%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 129Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Reflects downloads up to 13 Dec 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in