@inproceedings{Soss2212:Optimizing,

title = {Optimizing Edge SLAM: Judicious Parameter Settings and Parallelized Map Updates},

author = {Peter {Sossalla} and Johannes {Hofer} and Justus {Rischke} and Johannes V. S. {Busch} and Giang T. {Nguyen} and Martin {Reisslein} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-12-01},

urldate = {2022-12-01},

booktitle = {2022 IEEE Global Communications Conference: IoT and Sensor Networks 

(Globecom 2022 IoTSN)},

address = {Rio de Janeiro, Brazil},

note = {accepted for publication},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{2022statemeasurement,

title = {Towards Stateless Core Networks: Measuring State Access Patterns},

author = {Malte {H\"{o}weler} and Zuo {Xiang} and Franz {H\"{o}pfner} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-07-01},

urldate = {2022-07-01},

booktitle = {KuVS Fachgespr\"{a}ch - W\"{u}rzburg Workshop and Modeling, Analysis and Simulation of Next-Generation Communication Networks 2022 (WueWoWas'22)},

address = {W\"{u}rzburg, Germany},

note = {to appear},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Soss2206:5GMobile,

title = {Private 5G Solutions for Mobile Industrial Robots: A Feasibility Study},

author = {Peter {Sossalla} and Justus {Rischke} and Fabian {Baier} and Sebastian A. W. {Itting} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-30},

urldate = {2022-06-30},

booktitle = {27th IEEE Symposium on Computers and Communications (ISCC 2022)},

address = {Rhodes island, Greece},

abstract = {Mobile robots are an essential part of the vision of flexible production in a smart factory. To monitor and connect the robots, reliable and low latency communication is necessary. In this work, we conduct packet-based active measurements to evaluate the performance of a state-of-the-art 5G standalone system in a production environment. The focus is on whether 5G connections can meet the requirements specified by 3GPP in terms of delay and reliability. The results indicate that without cross-traffic, the requirement of a delay of less than 10 ms for 99.9 % of the packets can be met for the remote control and fleet management of mobile robots. However, as soon as cross-traffic is injected, especially in the uplink, the upper percentiles of the delay increase significantly, thus failing to hold the reliability requirements.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Senk2206:Flexible,

title = {Flexible Measurement Testbed for Evaluating Time-Sensitive Networking in Industrial Automation Applications},

author = {Stefan {Senk} and Marian {Ulbricht} and Javier {Acevedo} and Giang T. {Nguyen} and Patrick {Seeling} and Frank H. P. {Fitzek}},

doi = {10.1109/NetSoft54395.2022.9844050},

year  = {2022},

date = {2022-06-26},

urldate = {2022-06-26},

booktitle = {2022 IEEE 8th International Conference on Network Softwarization (NetSoft) 

(NetSoft 2022)},

address = {Milan, Italy},

abstract = {Deterministic communications are required for industrial environments, yet 

their realization is a challenging task. Time-Sensitive Networking (TSN) is 

intended to enable deterministic communication over inexpensive Ethernet 

networks. Standardized by the IEEE TSN working group, TSN enables precise 

control of time synchronization, traffic shaping, reliability enhancements, 

and network administration to answer the demands of industrial control 

applications. Subsequently, there is a significant need to enable turnkey 

research and 

implementation efforts. However, a current lack of open-sourced testbed 

implementations to investigate and study the behavior of TSN network 

devices limits verification to simulation and theoretical models. We 

introduce a publicly available, flexible, and open-sourced measurement 

testbed for evaluating TSN in the context of industrial automation 

applications to address the need to perform real-world measurements. In 

this contribution, we describe our testbed combining 

Commercial-Off-The-Shelf (COTS) hardware and existing open-source tools as 

a platform for in-depth evaluation of TSN devices. Providing detailed TSN 

backgrounds, we describe an in-depth performance analysis for our 

implementation. For a common Tactile Internet scenario, we observe an 

accuracy of close to 5 ns achievable with our publicly available COTS 

setup.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Risc2206:Empirical,

title = {Empirical Study of 5G Downlink \& Uplink Scheduling and its Effects on Latency},

author = {Justus {Rischke} and Christian Leonard {Vielhaus} and Peter {Sossalla} and Sebastian A. W. {Itting} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-14},

urldate = {2022-06-01},

booktitle = {2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and 

Multimedia Networks (WoWMoM) (WoWMoM 2022)},

address = {Belfast, United Kingdom (Great Britain)},

abstract = {5G campus networks, whose advantages include 

flexible deployment, can be a promising candidate for production 

plants to complement existing Wifi-based networks. Toward 

that goal, 5G has to satisfy strict requirements about real-time 

communication to facility novel use cases. However, the realtime- 

capability of 5G is not well understood yet. In this work, we 

deliver insights into the functioning of 5G NR RAN Release 

15, which includes actual one-way delay and Round-Trip Time 

(RTT) measurements for Downlink and Uplink in a private 5G 

Standalone campus network. The extensive measurement results 

reveal that these delays are correlated, and the corresponding 

RTT, i.e. the sum of Downlink and Uplink delays, is discreetly 

clustered, ranging between 12ms and 40ms. The measurements 

also show that the distribution of RTTs is mainly dependent on 

the packet rates and their inter-arrival times. Our study helps 

expand the current understanding of 5G used for latency-critical 

applications. We make the code and the measurement data traces 

publicly available as the IEEE DataPort 5G Campus Networks: 

Measurement Traces dataset (DOI 10.21227/xe3c-e968).},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Zhan2206:Evaluation,

title = {Evaluation of an Intelligent Task Scheduling Algorithm for 6G 3D Networking},

author = {Jiajing {Zhang} and Huanzhuo {Wu} and Shiwei {Shen} and Riccardo {Bassoli} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-14},

urldate = {2022-06-14},

booktitle = {2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022)},

address = {Palermo, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Zimm2206:Grade,

title = {Grade to the Edge: How Many Unreliable Nodes Does It Take to Break a Content Delivery Network?},

author = {Sandra {Zimmermann} and Paul {Schwenteck} and Juan A. {Cabrera} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-14},

urldate = {2022-06-14},

booktitle = {2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and 

Multimedia Networks (WoWMoM) (WoWMoM 2022)},

address = {Belfast, United Kingdom (Great Britain)},

abstract = {Delivering content from a network via a client-server architecture is 

expensive not only for content owners but also for network operators. 

Moving content closer to the end user is already used in Content Delivery 

Networks (CDN). Mobile Edge Cloud (MEC) enables us to shift the content 

even closer by using the storage of end users. But, due to the large media 

files, storage and transport costs for peers increase significantly. 

Network Coding can reduce these costs. However, peers in CDNs tend to be 

highly fluctuating and often need to be restored, making continuous 

availability of data at the network edge a problem. While for uncoded data, 

individual packets lost due to peer failures can be tracked to determine 

availability, the availability of coded data is currently distinguished 

only in two cases: either there are still enough linearly independent 

packets to decode the file, or there are not. However, we have found that 

the network's combined coded cache loses quality over time due to recovery. 

This quality loss, which we refer to as grade, can be measured by very 

cost-effective monitoring. If the grade falls below a certain limit, we can 

intervene in the network by performing a cache refresh to prevent data 

becoming unavailable preemptively. In this paper, we present the cases in 

which such monitoring is useful, how the grade is calculated, and when a 

cache refresh is necessary. The results show that we can reduce network 

traffic by up to 34 % with minimal storage costs through efficient 

monitoring.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nguyen2022melecon,

title = {A Good Horse Only Jumps as High as Needed: Multi-Field Fulcrum Codes for Heterogeneous Decoders},

author = {Vu {Nguyen} and Juan A. {Cabrera} and Javier {Acevedo} and Christian {Scheunert} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

doi = {10.1109/MELECON53508.2022.9843027},

year  = {2022},

date = {2022-06-14},

urldate = {2022-06-14},

booktitle = {2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022)},

address = {Palermo, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wagn2201:Tactile,

title = {Tactile Electronics Meets Softwarised Networks},

author = {Jens {Wagner} and Helmuth {Morath} and Jiajing {Zhang} and Florian {Wieczorek} and Lisa-Marie {L\"{u}neburg} and Frank H. P. {Fitzek} and Giang T. {Nguyen}},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-01},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

abstract = {Empowered by the shallow latency softwarised networks, the envisioned Tactile Internet with Human in the Loop (TaHiL) requires tactile electronics to infer human intention. Their integration, even though critical, lacks a detailed discussion in the literature. This paper highlights the critical roles of integrating tactile electronics and softwarised networks aiming at increasing adaption. We systematically address three components of such integration, namely the wireless frontend and medium access, data compression, and adaptation. Finally, we present eGlove, a prototypical wireless sensor testbed to capture the position of the hand and the motion of each finger, a significant step to future evaluation.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sossalla2201:Offloading,

title = {Offloading Robot Control with 5G},

author = {Peter {Sossalla} and Justus {Rischke} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

doi = { 10.1109/CCNC49033.2022.9700709},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2022)},

address = {Las Vegas, USA},

abstract = {Simultaneous Localization and Mapping (SLAM), among other critical 

functions of mobile robots, such as navigation, are computationally 

expensive. When deployed at the robot, those functions demand high energy 

consumption and result in shorter operation time. Offloading SLAM to an 

Edge Cloud (EC) can significantly reduce the robot's computing demand and 

resources, subsequently reducing energy consumption. We offload 

intelligence of mobile robot control functionality, i.e., navigation, 

localization, and control to an EC. The EC processes sensor data and sends 

the robot the directional velocities. Meanwhile, a 5G wireless connection 

ensures the necessary low latencies and high throughputs. We demonstrate 

the feasibility of offloading SLAM and navigation in an EC based on a use 

case in automotive production. Additionally, we developed a digital twin of 

the robot and visualized its current sensor data.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2201:Demonstration,

title = {Demonstration of In-Network Audio Processing for Low-Latency Anomaly Detection in Smart Factories},

author = {Huanzhuo {Wu} and Yunbin {Shen} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

doi = { 10.1109/CCNC49033.2022.9700506},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torre020:harq,

title = {A Random Linear Network Coded HARQ Solution for Lossy and High-Jitter Wireless Networks},

author = {Roberto {Torre} and Clara {Costa Sala} and Sreekrishna {Pandi} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (IEEE Globecom 2020 CQRM)},

journal = {2020 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (IEEE Globecom 2020 CQRM)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Doan2012:FAST,

title = {FAST: Flexible and Low-latency State Transfer in Mobile Edge Computing},

author = {Tung V. {Doan} and Chenglin {Ding} and Giang T. {Nguyen} and Dongho {You} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference: Next-Generation Networking and Internet (Globecom2020 NGNI)},

address = {Taipei, Taiwan},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{recoding2020,

title = {Exploring the Benefits of Memory-Limited Fulcrum Recoding for Heterogeneous Nodes},

author = {Vu {Nguyen} and Juan A. {Cabrera} and Sreekrishna {Pandi} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

urldate = {2020-12-07},

booktitle = {IEEE Globecom},

journal = {IEEE Globecom},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Doan2020b,

title = {Follow Me, If You Can: A Framework for Seamless Migration in Mobile Edge Cloud},

author = {Tung V. {Doan} and Zhongyi {Fan} and Giang T. {Nguyen} and Hani {Salah} and Dongho {You} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-07-06},

booktitle = {2020 IEEE INFOCOM Workshops},

address = {Toronto, Canada},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Doan2020b,

title = {Seamless Service Migration Framework for Autonomous Driving in Mobile Edge Cloud},

author = {Tung V. {Doan} and Zhongyi {Fan} and Giang T. {Nguyen} and Dongho {You} and Alexander {Kropp} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-01-01},

booktitle = {2020 17th IEEE Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2020)},

address = {Las Vegas, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{torre2019_enhanced,

title = {Enhanced Driving with 5G: A New Approach for Alleviating Traffic Congestion},

author = {Roberto {Torre} and Goiuri Peralta and Oleksandr {Zhdanenko} and Alexander {Kropp} and Hani {Salah} and Giang T. {Nguyen} and Stanislav {Mudriievskyi} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-11-17},

booktitle = {2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torre2019b,

title = {Evaluating the Latency Overhead of Network-Coded Cooperative Networks for Different Cloud Sizes},

author = {Roberto {Torre} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-10-01},

booktitle = {IEEE 5G World Forum's Secret Workshop},

address = {Dresden, Germany},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Doan2019b,

title = {Containers vs Virtual Machines: Choosing the Right Virtualization Technology for Mobile Edge Cloud},

author = {Tung V. {Doan} and Giang T. {Nguyen} and Hani {Salah} and Sreekrishna {Pandi} and Michael {Jarschel} and Rastin {Pries} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-10-01},

booktitle = {IEEE 5G World Forum},

address = {Dresden, Germany},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{iscc20191,

title = {Reusing Sub-chains of Network Functions to Support MEC Services},

author = {Tung V. {Doan} and Alexander {Kropp} and Giang T. {Nguyen} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-06-30},

booktitle = {IEEE ISCC},

address = {Barcelona, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Risc1906:Improving,

title = {Improving Communication Reliability Efficiently: Adaptive Redundancy for RLNC in SDN},

author = {Justus {Rischke} and Frank {Gabriel} and Sreekrishna {Pandi} and Giang T. {Nguyen} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-06-01},

booktitle = {2019 IEEE Conference on Network Softwarization (NetSoft) (NetSoft 2019)},

address = {Paris, France},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torre19-rlnc-modeling,

title = {Optimization of a Random Linear Network Coding System with Newton Method for Wireless Systems},

author = {Roberto {Torre} and Sreekrishna {Pandi} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-05-20},

booktitle = {2019 IEEE International Conference on Communications (ICC): Communication QoS, Reliability and Modeling Symposium},

address = {Shanghai, China},

abstract = {Random Linear Network Coding (RLNC) is widely considered a key enabler for 5G networks. It compensates for lost and corrupted packets by sending redundant coding packets. Despite the considerable attention RLNC received from the research community, the impact of the number of redundant coded packets on the network performance is poorly understood. An excessive number of redundancies would pollute the network with useless packets that give no additional information, and an insufficient number of redundancies would not provide enough packet loss resilience. We introduce a novel formal model for predicting the number of losses a system will have when RLNC is applied, by optimizing simulation results with the Newton-Raphson method. The model allows the sender to set the minimum amount of RLNC redundancies needed to keep the packet loss under a certain threshold. We validate our model against simulations by calculating the MSE between simulation results and our model.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ew20192,

title = {Towards a Better Understanding of Live Migration Performance with Docker Containers},

author = {Roberto {Torre} and Elena {Urbano} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-05-01},

booktitle = {European Wireless},

address = {Aarhus, Denmark},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nguy1905:Tunable,

title = {Tunable Expansion Packets for Fulcrum Codes},

author = {Vu {Nguyen} and Elif {Tasdemir} and Giang T. {Nguyen} and Daniel E. {Lucani R\"{o}tter} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-05-01},

booktitle = {European Wireless 2019 (EW 2019)},

abstract = {Fulcrum combines two encoding stages, first using one high Galois field, such as (GF(2^8)) and then with the binary Galois field (GF(2)). This allows intermediate and end devices, depending their computation power, to select either field to recode and decode coded packets. To ensure a high decoding probability, Fulcrum codes introduce (r) expansion packets at the outer coding stage, to increase the chance of producing linearly independent packets. However, the fixed number (r) hinder the chance of obtaining both high decoding probability and efficient transmission at a reduced computation complexity. We propose tunable expansion packet (TEP) protocols, which adjust the extra coefficients in the outer coding stage based on feedback from receivers. Comprehensive evaluations show that TEP protocols significantly increase goodput and reduce computation complexity while maintaining a low overhead.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kropp2019,

title = {Demonstration of a 5G Multi-access Edge Cloud Enabled Smart Sorting Machine for Industry 4.0},

author = {Alexander {Kropp} and Robert-Steve {Schmoll} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 16th IEEE Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2019)},

address = {Las Vegas, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Doan2019b,

title = {Programmable first: Automated orchestration between MEC and NFV platforms},

author = {Tung V. {Doan} and Alexander {Kropp} and Giang T. {Nguyen} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 16th IEEE Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2019)},

address = {Las Vegas, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ccnc219,

title = {Demonstration of Mobile Edge Cloud for 5G Connected Cars},

author = {Oleksandr {Zhdanenko} and Jianhui {Liu} and Roberto {Torre} and Stanislav {Mudriievskyi} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 16th IEEE Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2019)},

address = {Las Vegas, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ccnc419,

title = {Mobile Edge Cloud for Robot Control Services in Industry Automation},

author = {Ievgenii A. {Tsokalo} and Huanzhuo {Wu} and Giang T. {Nguyen} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 16th IEEE Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2019)},

address = {Las Vegas, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bmsb2019,

title = {MEC-assisted Immersive Services: Orchestration Framework and Protocol},

author = {Tung V. {Doan} and Dongho {You} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-01-01},

booktitle = {2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)},

address = {Jeju, South Korea},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{wd19,

title = {S-PRAC: Fast Partial Packet Recovery with Network Coding in Very Noisy Wireless Channels},

author = {Kurniawan D. {Irianto} and Juan A. {Cabrera} and Giang T. {Nguyen} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

booktitle = {Wireless Days},

address = {Manchester, UK},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{vu2018adaptivedecoding,

title = {Adaptive Decoding for Fulcrum Codes},

author = {Vu {Nguyen} and Juan A. {Cabrera} and Giang T. {Nguyen} and Frank {Gabriel} and Christopher {Lehmann} and Stanislav {Mudriievskyi} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-11-01},

urldate = {2018-11-01},

booktitle = {IEEE IEMCON},

address = {Vancouver, Canada},

howpublished = {accepted},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Gabr1810:Latency,

title = {Latency Measurement of Service Function Chaining on OpenStack Platform},

author = {Zuo {Xiang} and Frank {Gabriel} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-10-04},

booktitle = {2018 IEEE 43rd Conference on Local Computer Networks (LCN) (LCN 2018)},

address = {Chicago, USA},

abstract = {Service Function Chaining allows the flexible and efficient deployment of 

network functions for different applications. With Network Function 

Virtualization the elements of the chain can be provisioned in virtual 

environments on any COTS hardware. This introduces the question of where to 

position the individual network functions within the virtualization 

environment. This problem of network function placement has been studied in 

theory as an optimization problem on a graph. However it is challenging to 

apply theoretical work on practical deployments. In this paper, we perform 

a measurement campaign to study the delay introduced by Service Function 

Chaining. We propose placement heuristics and evaluate the performance on 

OpenStack. With the proposed heuristics, the service delay can be reduced 

by more than 20%. We measured the overhead introduced by a network 

function implemented in user space. The processing delay in user space can 

be twice as much as the same function in kernel space. More interestingly, 

we identified a service interruption of more than 1 second after activation 

of the chain.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nccnet-model,

title = {A Network-coded Cooperation Protocol for Efficient Massive Content Distribution},

author = {Israel {Leiva-Mayorga} and Roberto {Torre} and Sreekrishna {Pandi} and Giang T. {Nguyen} and Vicent {Pl\`{a} Bosc\`{a}} and Jorge {Martinez-Bauset} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-08-15},

booktitle = {IEEE GLOBECOM 2018 Conference Proceedings},

volume = {1},

number = {1},

pages = {7},

publisher = {IEEE},

address = {Dubai, United Arab Emirates},

organization = {Technische Universit\"{a}t Dresden},

series = {1},

abstract = {Massive content delivery in cellular networks is in the spotlight of the research community as data traffic is increasing at an incredibly fast pace. The existing LTE-A implementation for content broadcast presents several issues such as indoor coverage, along with low energy and spectral efficiency. Therefore, novel systems that provide efficient massive content delivery and reduced energy consumption are needed. In this paper we present a massive content distribution protocol that combines the benefits of cooperative mobile clouds (CMCs) with Random Linear Network Coding (RLNC) through multicast WiFi links. Our main goal is to offload data traffic from the LTE-A link and to reduce the energy consumption at the cooperating UEs. We solve the problem of excessive signaling that oftentimes arises in cooperative approaches by eliminating feedback messages within the CMCs. Instead, we provide a simple but accurate analytic model to correctly configure the number of coded transmissions to be performed within the CMCs. Results show that energy savings of more than 37 percent can be achieved with our protocol when compared to direct content download from the cellular base station. Furthermore, bandwidth utilization at the LTE-A link is sharply reduced.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}