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DICE: Dynamic Multi-RAT Selection in the ICN-enabled Wireless Edge

Published:25 October 2017Publication History
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Abstract

Coupled with the rapid increase in mobile device users and the bandwidth and latency demands are the continuous increase of devices’ processing capabilities, storage, and wireless connectivity options. The multiple radio access technology (multi-RAT) is proposed to satisfy mobile users’ increasing needs. The Information-Centric Networking (ICN) paradigm is better tuned (than the current Internet Protocol approach) to support multi-RAT communications. ICN eschews the connection-based content retrieval model used today and has desirable features such as data naming, in-network caching, and device mobility–a paradigm ripe for exploration.

We propose DICE, an ICN forwarding strategy that helps a device dynamically select a subset of its multi-RAT interfaces for communication. DICE assesses the state of edge links and network congestion to determine the minimum number of interfaces required to perform data delivery. We perform simulations to compare DICE’s performance with bestroute2 and multicast strategies (part of the named data networking simulator, ndnSIM). We show that DICE is the best of both worlds: providing a higher delivery ratio (0.2–2 times) and much lower overhead (by 2–8 times) for different packet rates.

References

  1. 1 D. Webster. Cisco visual networking index (VNI). Global Forecast Update, page 6, 2017.Google ScholarGoogle Scholar
  2. 2 O. Galinina, A. Pyattaev, S. Andreev, M. Dohler, and Y. Koucheryavy. 5G multi-RAT LTE-WiFi ultra-dense small cells: performance dynamics, architecture, and trends. IEEE Journal on Selected Areas in Communications, 33(6):1224–1240, 2015. Google ScholarGoogle ScholarCross RefCross Ref
  3. 3 S. Cavalli and F. Meago. Common radio resource management method in a multi-rat cellular telephone network, 2007. US Patent 7,224,977.Google ScholarGoogle Scholar
  4. 4 V. Jacobson, D.K. Smetters, J.D. Thornton, M.F. Plass, N.H. Briggs, and R.L. Braynard. Networking named content. In Proceedings of the 5th international conference on Emerging networking experiments and technologies, pages 1–12. ACM, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5 S. Tarkoma, M. Ain, and K. Visala. The publish/subscribe internet routing paradigm (psirp): Designing the future internet architecture. Towards the Future Internet, page 102, 2009.Google ScholarGoogle Scholar
  6. 6 G. Carofiglio, M. Gallo, L. Muscariello, M. Papalini, and S. Wang. Optimal multipath congestion control and request forwarding in information-centric networks. In IEEE International Conference on Network Protocols (ICNP), pages 1–10, 2013. Google ScholarGoogle ScholarCross RefCross Ref
  7. 7 S. Mastorakis, A. Afanasyev, I. Moiseenko, and L. Zhang. ndnSIM 2: An updated NDN simulator for NS-3. Technical Report NDN-0028, Revision 2, NDN, November 2016.Google ScholarGoogle Scholar
  8. 8 V. Marques, R. Aguiar, C. Garcia, I. Moreno, C. Beaujean, E. Melin, and M. Liebsch. An ip-based qos architecture for 4g operator scenarios. IEEE Wireless Communications, 10(3):54–62, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 9 R. Tourani, S. Misra, and T. Mick. IC-MCN: An architecture for an information-centric mobile converged network. IEEE Communications Magazine, 54(9):43–49, 2016. Google ScholarGoogle ScholarCross RefCross Ref
  10. 10 A. Ravanshid, P. Rost, D. Michalopoulos, et al. Multi-connectivity functional architectures in 5G. In IEEE International Conference on Communications Workshops (ICC), pages 187–192, 2016. Google ScholarGoogle ScholarCross RefCross Ref
  11. 11 X. Gelabert, O. Sallent, J. Pérez-Romero, and R. Agustí. Performance evaluation of radio access selection strategies in constrained multi-access/multi-service wireless networks. Computer Networks, 55(1):173–192, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. 12 X. Gelabert, J. Pérez-Romero, O. Sallent, and R. Agustí. On the suitability of load balancing principles in heterogeneous wireless access networks. In Wireless Personal Multimedia Communications Symposium, 2005.Google ScholarGoogle Scholar
  13. 13 T.F.M. Hendrixen. UMTS and LTE/SAE handover solutions and their comparison. In Proc. 11th Twente Student Conf. IT, pages 1–9, 2009.Google ScholarGoogle Scholar
  14. 14 L. Zhang, A. Afanasyev, J. Burke, V. Jacobson, P. Crowley, C. Papadopoulos, L. Wang, B. Zhang, and K. Claffy. Named data networking. ACM SIGCOMM Computer Communication Review, 44(3):66–73, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. 15 G. Rossini and D. Rossi. Evaluating ccn multi-path interest forwarding strategies. Computer Communications, 36(7):771–778, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. 16 A. Udugama, X. Zhang, K. Kuladinithi, and C. Goerg. An on-demand multi-path interest forwarding strategy for content retrievals in ccn. In Network Operations and Management Symposium (NOMS), pages 1–6. IEEE, 2014. Google ScholarGoogle ScholarCross RefCross Ref
  17. 17 A. Detti, C. Pisa, and N. B. Melazzi. Modeling multipath forwarding strategies in information centric networks. In IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 324–329, 2015. Google ScholarGoogle ScholarCross RefCross Ref
  18. 18 K. M. Schneider and U. R. Krieger. Beyond network selection: Exploiting access network heterogeneity with named data networking. In Proceedings of the 2nd International Conference on Information-Centric Networking, pages 137–146. ACM, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. 19 K. M. Schneider, K. Mast, and U. R. Krieger. Ccn forwarding strategies for multihomed mobile terminals. In International Conference and Workshops on Networked Systems (NetSys), pages 1–5. IEEE, 2015. Google ScholarGoogle ScholarCross RefCross Ref
  20. 20 J. Chu, Y. Cheng, N. Dukkipati, and M. Mathis. Increasing TCP's initial window, 2013. https://tools.ietf.org/html/rfc6928.Google ScholarGoogle Scholar
  21. 21 J. F. Kurose and K. W. Ross. Computer networking: A top-down approach. Transport, 9:26, 2001.Google ScholarGoogle Scholar
  22. 22 M. Mitzenmacher and R. Rajaraman. Towards more complete models of tcp latency and throughput. The Journal of Supercomputing, 20(2):137–160, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        • Published in

          cover image ACM SIGCOMM Computer Communication Review
          ACM SIGCOMM Computer Communication Review  Volume 47, Issue 5
          October 2017
          78 pages
          ISSN:0146-4833
          DOI:10.1145/3155055
          Issue’s Table of Contents

          Copyright © 2017 Authors

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 25 October 2017

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