Matteo Pozza
ABSTRACT
Mobile data traffic is becoming a key issue, causing traffic overload problems for classic resource providers. Tackling this issue, different solutions have been proposed, communed by the goal of alleviating the burden on the infrastructure while guaranteeing service availability. In this context, swarming protocols present the advantage of addressing the problem at its source, e.g., by engaging a lower number of direct connections with the network hosted server(s), while the requesters share these same resources among them. However, these solutions are generally verified only through simulation studies. While simulations consist in a necessary first step, they can be far from the actual outcome of employing real protocols and devices. To this end, we discuss BlueFall, an application platform that allows a rapid development and testing of swarming protocols using off-the-shelf smartphones and PCs. Pursuing our goal, we provide some evidence on two swarming schemes we have implemented in our testbed, profiling different access technologies.
- Cisco VNI - Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2013--2018.Google Scholar
- Study on Architecture Enhancements to Support Proximity Services. TR Standard 23.703. March 2014.Google Scholar
- C. E. Palazzi, A. Bujari, G. Marfia, M. Roccetti, An Overview of Opportunistic Ad Hoc Communication in Urban Scenario. In Proc. of the 13th Annual Mediterranean Ad Hoc Networking Workshop (MEDHOC-NET 2014). June 2014.Google Scholar
- C. E. Palazzi, S. Ferretti, M. Roccetti, G. Pau, M. Gerla, What's in that Magic Box? The Home Entertainment Center's Special Protocol Potion, Revealed. IEEE Transactions on Consumer Electronics, 52(4): 1280--1288, November 2006. Google ScholarDigital Library
- D. Calin, H. Claussen, H. Uzunalioglu, On femto deployment architectures and macrocell offloading benefits in joint macro-femto deployments. IEEE Communications Magazine, 48(1):26--32, January 2010. Google ScholarDigital Library
- L. Keller, A. Le, B. Cici, H. Seferoglu, Ch. Fragouli, A. Markopoulou, MicroCast: Cooperative Video Streaming on Smartphones. In Proc. of International Conference on Mobile Systems, Applications, and Services. 2012. Google ScholarDigital Library
- S. Hoteit, S. Secci, G. Pujolle, A. Wolisz, C. Ziemlicki, Z. Smoreda, Mobile Data Traffic Offloading over Passpoint Hotspots. Computer Networks, 84(0):76--93, 2015. Google ScholarDigital Library
- A. Nandan, S. Das, G. Pau, M.Y. Sanadidi, M. Gerla, Cooperative Downloading in Vehicular Ad Hoc Wireless Networks. In Proc. of IEEE/IFIP International Conference on Wireless On demand Network Systems and Services. January 2005. Google ScholarDigital Library
- U. Lee, J.S. Park, J. Yeh, G. Pau, M. Gerla, Code Torrent: Content Distribution Using Network Coding in VANET. In Proc. of International Workshop on Decentralized Resource Sharing in Mobile Computing and Networking. September 2006. Google ScholarDigital Library
- K. Yasumoto, Y. Takamatsu, W. Sun, M. Ito, Energy-Efficient Cooperative Download for Smartphone Users through Contact Time Estimation. In Proc. of IEEE Intl. Conf. on Wireless and Mobile Computing, Networking and Communications. October 2012. Google ScholarDigital Library
- A. Hamidian, C.E. Palazzi, T.Y. Chong, J.M. Navarro, U. Korner, M. Gerla, Deployment and Evaluation of a Wireless Mesh Network. in Proc. of IARIA/IEEE International Conference on Advances in Mesh Networks (MESH 2009). June 2009. Google ScholarDigital Library
- M. Pozza, C.E. Palazzi, A. Bujari, BlueFall: Testing Swarming Protocols through Mobile Phones. in Proc. of International Conference on Computing, Networking and Communications (ICNC). February 2015.Google ScholarCross Ref
- C. Casetti, C.F. Chiasserini, L. Curto Pelle, C. Del Valle, Y. Duan, P. Giaccone, Content-centric Routing in Wi-Fi Direct Multi-group Networks. In arXiv:1412.0880v1 {cs.NI}. December 2014.Google Scholar
- Monsoon Solutions Inc - PowerMonitor: https://www.msoon.com/LabEquipment/PowerMonitor/.Google Scholar
- S. Kopparty, S.V. Krishnamurthy, M. Faloutsos, S.K. Tripathi, Split TCP for mobile ad hoc networks. In Proc. of IEEE Global Telecommunications Conference. November 2002.Google Scholar
Index Terms
- Mobile Data Offloading: An Experimental Evaluation
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