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Identifying Traffic Differentiation in Mobile Networks

Arash Molavi Kakhki, Abbas Razaghpanah, Anke Li, Hyungjoon Koo, Rajesh Golani, David Choffnes, Phillipa Gill, Alan Mislove
2015 Proceedings of the 2015 ACM Conference on Internet Measurement Conference - IMC '15  
In this paper, we present the design, implementation, and evaluation of the first system and mobile app for identifying traffic differentiation for arbitrary applications in the mobile environment (i.e  ...  Previous work attempted to address this problem for fixed line networks; however, there is currently no solution that works in the more challenging mobile environment.  ...  This research was partially supported in part by NSF grants CNS-1054233, CNS-1318396, and CNS-1319019, CNS-1350720, and a Google Faculty Research Award.  ... 
doi:10.1145/2815675.2815691 dblp:conf/imc/KakhkiRLKGCGM15 fatcat:l22fqogje5gfzoexzn3ds4cxme

Identifying traffic differentiation on cellular data networks

Arash Molavi Kakhki, Abbas Razaghpanah, Rajesh Golani, David Choffnes, Phillipa Gill, Alan Mislove
2014 Computer communication review  
INTRODUCTION The goal of this research is to detect traffic differentiation in cellular data networks.  ...  Overview Mobile Replay identifies service differentiation using two key components. First, it tests for differentiation by replaying real network traces generated from user interactions with apps.  ... 
doi:10.1145/2740070.2631445 fatcat:oo2uwwfasvhzbjnjbsdc66cicq

Identifying traffic differentiation on cellular data networks

Arash Molavi Kakhki, Abbas Razaghpanah, Rajesh Golani, David Choffnes, Phillipa Gill, Alan Mislove
2014 Proceedings of the 2014 ACM conference on SIGCOMM - SIGCOMM '14  
INTRODUCTION The goal of this research is to detect traffic differentiation in cellular data networks.  ...  Overview Mobile Replay identifies service differentiation using two key components. First, it tests for differentiation by replaying real network traces generated from user interactions with apps.  ... 
doi:10.1145/2619239.2631445 dblp:conf/sigcomm/KakhkiRGCGM14 fatcat:mpvq4egjavd7bahujoxir7e7gi

TCP-Mobile Edge: Accelerating delivery in mobile networks

Tao Han, Nirwan Ansari, Mingquan Wu, Heather Yu
2012 2012 IEEE International Conference on Communications (ICC)  
Considering the QoS (Quality of Service) mechanisms of mobile networks, TCP-ME is designed to differentiate the packet loss caused by wireless errors, traffic conditioning of mobile core networks, and  ...  In this paper, we design a new TCP algorithm, TCP-ME (Mobile Edge), to accelerate the service delivery in mobile networks.  ...  In this paper, we solve the above problem by proposing a new TCP flavor, TCP-ME, which can differentiate the packet loss caused by wireless loss, traffic conditioner in mobile networks, and Internet congestion  ... 
doi:10.1109/icc.2012.6363782 dblp:conf/icc/HanAWY12 fatcat:gkyjbxz57ffpfgw3eazk7s5qqm

Mapping DiffServ to MAC differentiation for IEEE 802.11e

M. Frikha, T. Najet, F. Tabbana
2006 Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services (AICT-ICIW'06)  
So it's necessary to have differentiation mechanisms in the access networks where the bottlenecks are often located.  ...  In Internet, the user's traffic crosses several domains. More and more the users want end-to-end quality of service (QoS).  ...  In IntServ, network nodes classify incoming packets, and network resources are explicitly identified and reserved.  ... 
doi:10.1109/aict-iciw.2006.127 dblp:conf/aict/FrikhaNT06 fatcat:bc4cqn5dkvgl5cdkngusyx25uu

QoS Provisioning [chapter]

David Soldani, Man Li, Jaana Laiho
2006 QoS and QoE Management in UMTS Cellular Systems  
in mobile broadband networks.  ...  In this review paper, basic mechanisms of providing QOS and its implementation over the long-term evolution (LTE) mobile network are introduced.  ...  Monetization of mobile networks In addition to the above-mentioned services, monetization is a key factor that is driving the need for QoS in mobile networks.  ... 
doi:10.1002/9780470034057.ch8 fatcat:soqhyp7rovfrnpli6rlgl2kxhq

Service Boost: Towards on-demand QoS enhancements for OTT apps in LTE

K. Samdanis, F. G. Mir, D. Kutscher, T. Taleb
2013 2013 21st IEEE International Conference on Network Protocols (ICNP)  
mobile network (Policer/Audit function@eNB/P-GW) • differentiated buckets to treat separately Service Boost traffic • e2e view to provide admission control and traffic engineering for Service Boost requests  ...  Service Boost enables users to  request a time bound on-demand service enhancement  specify differentiate and prioritize important Apps for QoS guarantees Service Boost enables Mobile Network Operators  ... 
doi:10.1109/icnp.2013.6733663 dblp:conf/icnp/SamdanisMKT13 fatcat:docfjaipjvgvbjxikhkjqltmtm

Modeling perspective for the relevant market of voice services: Mobile to Mobile

O. Lucía Quintero, Fabián L. Jaramillo P., Manuela Bastidas
2015 MASKANA  
The markets, associated to -mobile to mobile-services of voice, in Advanced Mobile Telecommunications services in Latin America have been subject to dominant operator regulatory processes, which are necessary  ...  Specifically in Ecuador, the Governmental Control Organism (Superintendence of Telecommunications) developed a model of the market to identify the convenient regulatory control actions of the Dominant  ...  The last few years, the main elements of the competitive situation in the mobile telephony in Ecuador are: network externalities, price differentiation onnet/off-net, and an important differentiation in  ... 
doi:10.18537/mskn.06.02.13 fatcat:oe2lbsadxjabfpuozpw22v2m6i

C-ITS bundling for integrated traffic management [article]

Evangelos Mitsakis, Areti Kotsi, Vasileios Psonis
2020 arXiv   pre-print
In the context of traffic efficiency, C-ITS technologies could assist in road network status visualization and monitoring, through data exchange, improving this way traffic control organization and traffic  ...  The objective of the operators-managers dimension is the integration of C-ITS services in operational traffic management.  ...  In our case this step differentiates from the logic of identifying smart traditional traffic management services where road authorities can identify the available traditional traffic management services  ... 
arXiv:2011.03425v1 fatcat:wiq4urzftjb53l67olgodyhmlm


Stefan S. Čelanović, Nataša M. Gospić
2019 Knowledge International Journal  
Such policies, being part of differentiated services architecture, are created in a way that the network devices are configured with the intend of classifying different flows of traffic, giving certain  ...  Impact of computer and mobile networks on modern social structures, as one of the most significant factors in shaping the psyche of a contemporary human is considered, coupled with the brief introduction  ...  One of the methods of network optimization is the induction of QoS policies in the collective network traffic.  ... 
doi:10.35120/kij3003695c fatcat:brjha6ysnvepzoac6wo3gano5i

Per-user policy enforcement on mobile apps through network functions virtualization

Amedeo Sapio, Yong Liao, Mario Baldi, Gyan Ranjan, Fulvio Risso, Alok Tongaonkar, Ruben Torres, Antonio Nucci
2014 Proceedings of the 9th ACM workshop on Mobility in the evolving internet architecture - MobiArch '14  
It has became very hard to implement network policies based on the differentiation between traffic from compliant and non-compliant mobile apps.  ...  This loss of visibility into mobile app traffic brings new challenges to network management and traffic analysis.  ...  To guarantee network and information security, it is impera-tive that such systems have the capability to identify and differentiate traffic generated by different mobile applications, across platforms  ... 
doi:10.1145/2645892.2645896 dblp:conf/mobiarch/SapioLBRRTTN14 fatcat:rgyr4c6xhveybhgxzewxrm3an4

Quality of service in third-generation IP-based radio access networks

Mooi Choo Chuah, Kamesh Medepalli, Se-Yong Park, Jiansong Wang
2002 Bell Labs technical journal  
Currently, the radio access network (RAN) in code division multiple access (CDMA)-based third-generation (3G) technologies (CDMA2000 and Universal Mobile Telecommunications Service [UMTS]) is based on  ...  by different traffic types.  ...  In essence, the PDSN sends packets received from the IP network for a mobile station onto the R-P session for the mobile station in accordance with differentiated class behavior of the packet and the user  ... 
doi:10.1002/bltj.10006 fatcat:uwtf26h2xvhlnhluwmbqiul2te

Content consumption cartography of the paris urban region using cellular probe data

Sahar Hoteit, Stefano Secci, Zhuochao He, Cezary Ziemlicki, Zbigniew Smoreda, Carlo Ratti, Guy Pujolle
2012 Proceedings of the first workshop on Urban networking - UrbaNe '12  
A present issue in the evolution of mobile cellular networks is determining whether, how and where to deploy adaptive content and cloud distribution solutions at base station and back-hauling network level  ...  In order to answer these questions, in this paper we document the content consumption in Orange cellular network for Paris metropolitan area.  ...  DATASET The dataset used in our study consists of network probe's data, generated each time a mobile device uses wireless mobile network for Internet data exchange (not for voice calls and SMS, i.e., what  ... 
doi:10.1145/2413236.2413246 fatcat:ueoj7xe2k5a2fevkg52ac5ac3i

Prediction of quality degradation for mobile video streaming apps: A case study using YouTube

Dhruv Jain, Swapnil Agrawal, Satadal Sengupta, Pradipta De, Bivas Mitra, Sandip Chakraborty
2016 2016 8th International Conference on Communication Systems and Networks (COMSNETS)  
In this poster we explore the traffic characteristics of mobile streaming video apps, by considering YouTube Android app as a use case.  ...  Quality of online videos gets significantly affected due to the capacity fluctuations of underlying communication channel, which is very much common for cellular mobile networks.  ...  The data have been collected from both cellular and Wi-Fi networks at different traffic condition with various indoor mobility pattern.  ... 
doi:10.1109/comsnets.2016.7440005 dblp:conf/comsnets/JainASDMC16 fatcat:b7ydq522xbebrkjgeyil3ilony

The prediction of mobile data traffic based on the ARIMA model and disruptive formula in industry 4.0: A case study in Jakarta, Indonesia

Ajib Setyo Arifin, Muhammad Idham Habibie
2020 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Disruptive technologies, which are caused by the cellular evolution including the Internet of Things (IoT), have significantly contributed data traffic to the mobile telecommunication network in the era  ...  The higher values in the ARIMA with disruptive formula are closest to the prediction of the mobile data forecast.  ...  Since mobile network trends are moving towards LTE and 5G networks in 2019 to support low-power devices, 3G might not be preferable for implementation in mobile traffic.  ... 
doi:10.12928/telkomnika.v18i2.12989 fatcat:ii42m4nrhjcmhjpk7urogljic4
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