Pub Date : 2019-07-01DOI: 10.1109/lanman.2019.8847155
{"title":"LANMAN 2019 Welcome Message","authors":"","doi":"10.1109/lanman.2019.8847155","DOIUrl":"https://doi.org/10.1109/lanman.2019.8847155","url":null,"abstract":"","PeriodicalId":214356,"journal":{"name":"2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129744480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/LANMAN.2019.8847150
Shanyu Zhou, M. Chaudhry, V. Gopalakrishnan, Emir Halepovic, Balajee Vamanan, H. Seferoglu
A large variety of traffic — time-sensitive “foreground” traffic (e.g., web browsing) and time-insensitive “background” traffic (e.g., software updates) — compete for the scarce cellular bandwidth, especially on the downlink. While there is limited in-network support for traffic prioritization, existing endto-end, “low priority transport protocols” exhibit sub-optimal performance in cellular networks. We propose Sneaker, which yields to time-sensitive foreground traffic during periods of congestion and enables time-insensitive background traffic to efficiently utilize any spare capacity. Sneaker achieves the desired goal by randomly dropping packets coming into the base station, based on traffic type and network conditions. Our key contribution is the derivation of the optimal dropping rate and a practical dropping rate, which performs close to optimal. Further, Sneaker co-exists and performs well with existing cellular schedulers and transport protocols.
{"title":"Managing Background Traffic in Cellular Networks","authors":"Shanyu Zhou, M. Chaudhry, V. Gopalakrishnan, Emir Halepovic, Balajee Vamanan, H. Seferoglu","doi":"10.1109/LANMAN.2019.8847150","DOIUrl":"https://doi.org/10.1109/LANMAN.2019.8847150","url":null,"abstract":"A large variety of traffic — time-sensitive “foreground” traffic (e.g., web browsing) and time-insensitive “background” traffic (e.g., software updates) — compete for the scarce cellular bandwidth, especially on the downlink. While there is limited in-network support for traffic prioritization, existing endto-end, “low priority transport protocols” exhibit sub-optimal performance in cellular networks. We propose Sneaker, which yields to time-sensitive foreground traffic during periods of congestion and enables time-insensitive background traffic to efficiently utilize any spare capacity. Sneaker achieves the desired goal by randomly dropping packets coming into the base station, based on traffic type and network conditions. Our key contribution is the derivation of the optimal dropping rate and a practical dropping rate, which performs close to optimal. Further, Sneaker co-exists and performs well with existing cellular schedulers and transport protocols.","PeriodicalId":214356,"journal":{"name":"2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114929531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/LANMAN.2019.8847112
D. Chemodanov, Chengyi Qu, Osunkoya Opeoluwa, Songjie Wang, P. Calyam
Computer vision applications are increasingly used on mobile Internet-of-Things (IoT) devices such as drones. They provide real-time support in disaster/incident response or crowd protest management scenarios by e.g., counting human/vehicles, or recognizing faces/objects. However, deployment of such applications for real-time video analytics at geo-distributed areas presents new challenges in processing intensive media-rich data to meet users’ Quality of Experience (QoE) expectations, due to limited computing power on the devices. In this paper, we present a novel policy-based decision computation offloading scheme that not only facilitates trade-offs in performance vs. cost, but also aids in offloading decision to either an Edge, Cloud or Function-Centric Computing resource architecture for real-time video analytics. To evaluate our offloading scheme, we decompose an existing computer vision pipeline for object/motion detection and object classification into a chain of container-based micro-service functions that communicate via a RESTful API. We evaluate the performance of our scheme on a realistic geo-distributed edge/core cloud testbed using different policies and computing architectures. Results show how our scheme utilizes state-of-the-art computation offloading techniques to Pareto-optimally trade-off performance (i.e., frames-per-second) vs. cost factors (using Amazon Web Services Lambda pricing) during real-time drone video analytics, and thus fosters effective environmental situational awareness.
计算机视觉应用越来越多地应用于无人机等移动物联网(IoT)设备。它们在灾难/事件响应或人群抗议管理场景中提供实时支持，例如，计数人员/车辆，或识别人脸/物体。然而，由于设备的计算能力有限，在地理分布区域部署此类应用程序进行实时视频分析，在处理密集的富媒体数据以满足用户体验质量(QoE)期望方面提出了新的挑战。在本文中，我们提出了一种新的基于策略的决策计算卸载方案，该方案不仅促进了性能与成本的权衡，而且还有助于将决策卸载到边缘、云或以功能为中心的计算资源架构中进行实时视频分析。为了评估我们的卸载方案，我们将现有的用于对象/运动检测和对象分类的计算机视觉管道分解为一系列基于容器的微服务功能，这些功能通过RESTful API进行通信。我们使用不同的策略和计算架构在现实的地理分布式边缘/核心云测试平台上评估了我们的方案的性能。结果显示，我们的方案如何利用最先进的计算卸载技术，在实时无人机视频分析期间权衡性能(即每秒帧数)与成本因素(使用Amazon Web Services Lambda定价)，从而促进有效的环境态势感知。
{"title":"Policy-Based Function-Centric Computation Offloading for Real-Time Drone Video Analytics","authors":"D. Chemodanov, Chengyi Qu, Osunkoya Opeoluwa, Songjie Wang, P. Calyam","doi":"10.1109/LANMAN.2019.8847112","DOIUrl":"https://doi.org/10.1109/LANMAN.2019.8847112","url":null,"abstract":"Computer vision applications are increasingly used on mobile Internet-of-Things (IoT) devices such as drones. They provide real-time support in disaster/incident response or crowd protest management scenarios by e.g., counting human/vehicles, or recognizing faces/objects. However, deployment of such applications for real-time video analytics at geo-distributed areas presents new challenges in processing intensive media-rich data to meet users’ Quality of Experience (QoE) expectations, due to limited computing power on the devices. In this paper, we present a novel policy-based decision computation offloading scheme that not only facilitates trade-offs in performance vs. cost, but also aids in offloading decision to either an Edge, Cloud or Function-Centric Computing resource architecture for real-time video analytics. To evaluate our offloading scheme, we decompose an existing computer vision pipeline for object/motion detection and object classification into a chain of container-based micro-service functions that communicate via a RESTful API. We evaluate the performance of our scheme on a realistic geo-distributed edge/core cloud testbed using different policies and computing architectures. Results show how our scheme utilizes state-of-the-art computation offloading techniques to Pareto-optimally trade-off performance (i.e., frames-per-second) vs. cost factors (using Amazon Web Services Lambda pricing) during real-time drone video analytics, and thus fosters effective environmental situational awareness.","PeriodicalId":214356,"journal":{"name":"2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124663901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/LANMAN.2019.8847054
Jendaipou Palmei, Shefali Gupta, Pasquale Imputato, Jonathan Morton, M. Tahiliani, S. Avallone, Dave Täht
The problem of bufferbloat arises due to the presence of large unmanaged buffers and leads to high queuing delays and significant degradation in the performance of time-sensitive and interactive Internet applications. Recently, a new smart queue management system called Common Applications Kept Enhanced (CAKE) has been introduced in Linux 4.19 to tackle the problem of bufferbloat in home Internet gateways. One of the integral parts of CAKE system is COBALT (CoDel and BLUE Alternate), a queue discipline which is a combination of Controlled Delay (CoDel) and BLUE algorithms. Although CAKE is a part of the Linux kernel, a detailed discussion on the design of COBALT is missing. In this paper, we discuss the design of COBALT and compare its performance with CoDel. Additionally, we propose a simulation model for COBALT in ns-3 and test its correctness by comparing the results obtained from it to those obtained from the Linux model. Our evaluation shows that COBALT offers substantial benefits in terms of curtailing queue delays when unresponsive flows exist.
{"title":"Design and Evaluation of COBALT Queue Discipline","authors":"Jendaipou Palmei, Shefali Gupta, Pasquale Imputato, Jonathan Morton, M. Tahiliani, S. Avallone, Dave Täht","doi":"10.1109/LANMAN.2019.8847054","DOIUrl":"https://doi.org/10.1109/LANMAN.2019.8847054","url":null,"abstract":"The problem of bufferbloat arises due to the presence of large unmanaged buffers and leads to high queuing delays and significant degradation in the performance of time-sensitive and interactive Internet applications. Recently, a new smart queue management system called Common Applications Kept Enhanced (CAKE) has been introduced in Linux 4.19 to tackle the problem of bufferbloat in home Internet gateways. One of the integral parts of CAKE system is COBALT (CoDel and BLUE Alternate), a queue discipline which is a combination of Controlled Delay (CoDel) and BLUE algorithms. Although CAKE is a part of the Linux kernel, a detailed discussion on the design of COBALT is missing. In this paper, we discuss the design of COBALT and compare its performance with CoDel. Additionally, we propose a simulation model for COBALT in ns-3 and test its correctness by comparing the results obtained from it to those obtained from the Linux model. Our evaluation shows that COBALT offers substantial benefits in terms of curtailing queue delays when unresponsive flows exist.","PeriodicalId":214356,"journal":{"name":"2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129494764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/LANMAN.2019.8847175
J. Kawamoto, T. Koyama, Masahiro Kawaragi, Ryoichi Shirato, T. Kurakake, Kyoichi Saito
We investigated remote production, which produces live TV programs from the broadcast-station side by connecting venues and the broadcast station via an IP network. We previously developed a lightweight compressed 8K UHDTV transceiver, which can transmit and receive 8K video with high image quality and low processing-latency in real time. In remote production, low-delay live video transmission over a network is required, so when designing such a network, it is necessary to determine whether the network can satisfy the required transmission-delay time in advance. We conducted a remote production experiment via a commercial network and clarified the relation between the required transmission-delay time for remote production and factors that constitute transmission-delay time. It was found that the transmission-delay time of 1-video frame or less can be achieved if the number of routers is 4 and the path length is about 600 km.
{"title":"Study of Transmission-Delay Time for IP Remote Production of 8K UHDTV","authors":"J. Kawamoto, T. Koyama, Masahiro Kawaragi, Ryoichi Shirato, T. Kurakake, Kyoichi Saito","doi":"10.1109/LANMAN.2019.8847175","DOIUrl":"https://doi.org/10.1109/LANMAN.2019.8847175","url":null,"abstract":"We investigated remote production, which produces live TV programs from the broadcast-station side by connecting venues and the broadcast station via an IP network. We previously developed a lightweight compressed 8K UHDTV transceiver, which can transmit and receive 8K video with high image quality and low processing-latency in real time. In remote production, low-delay live video transmission over a network is required, so when designing such a network, it is necessary to determine whether the network can satisfy the required transmission-delay time in advance. We conducted a remote production experiment via a commercial network and clarified the relation between the required transmission-delay time for remote production and factors that constitute transmission-delay time. It was found that the transmission-delay time of 1-video frame or less can be achieved if the number of routers is 4 and the path length is about 600 km.","PeriodicalId":214356,"journal":{"name":"2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132430275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/LANMAN.2019.8847036
Panagiotis Karamichailidis, Konstantinos Choumas, T. Korakis
In recent years, the rise of Network Function Virtualization (NFV) makes the Network Service (NS) deployment much agile and flexible. The proprietary and custom-made hardware is replaced by a virtual and software-based infrastructure, that is easily exploited in a common way for the NS deployment. One of the most challenging problems in this environment is deploying and organizing in a large-scale and multi-domain infrastructure, which contains geographically distributed but interconnected data-centers. The proposed solution focuses on the extra networking operations required in a NFV infrastructure, managed by Open Source MANO, OpenStack and OpenDaylight. We develop software proxies that collaborate with the aforementioned tools and enhance their functionality. Finally, we implement and evaluate the proposed architecture, using the NITOS experimentation testbed.
近年来，网络功能虚拟化(Network Function Virtualization, NFV)技术的兴起，使得网络服务(Network Service, NS)的部署更加敏捷和灵活。专有和定制的硬件被虚拟和基于软件的基础设施所取代，这很容易以一种通用的方式用于NS部署。在这种环境中，最具挑战性的问题之一是在大规模和多域基础设施中进行部署和组织，其中包含地理上分布但相互连接的数据中心。提出的解决方案侧重于NFV基础设施所需的额外网络操作，由开源MANO、OpenStack和OpenDaylight管理。我们开发与上述工具协作并增强其功能的软件代理。最后，我们使用NITOS实验测试平台实现并评估了所提出的体系结构。
{"title":"Enabling Multi-Domain Orchestration using Open Source MANO, OpenStack and OpenDaylight","authors":"Panagiotis Karamichailidis, Konstantinos Choumas, T. Korakis","doi":"10.1109/LANMAN.2019.8847036","DOIUrl":"https://doi.org/10.1109/LANMAN.2019.8847036","url":null,"abstract":"In recent years, the rise of Network Function Virtualization (NFV) makes the Network Service (NS) deployment much agile and flexible. The proprietary and custom-made hardware is replaced by a virtual and software-based infrastructure, that is easily exploited in a common way for the NS deployment. One of the most challenging problems in this environment is deploying and organizing in a large-scale and multi-domain infrastructure, which contains geographically distributed but interconnected data-centers. The proposed solution focuses on the extra networking operations required in a NFV infrastructure, managed by Open Source MANO, OpenStack and OpenDaylight. We develop software proxies that collaborate with the aforementioned tools and enhance their functionality. Finally, we implement and evaluate the proposed architecture, using the NITOS experimentation testbed.","PeriodicalId":214356,"journal":{"name":"2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116072693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/LANMAN.2019.8846970
Sameer G. Kulkarni, Guyue Liu, K. Ramakrishnan, Timothy Wood
Serverless computing platforms have gained popularity because they allow easy deployment of services in a highly scalable and cost-effective manner. By enabling just-in-time startup of container-based services, these platforms can achieve good multiplexing and automatically respond to traffic growth, making them particularly desirable for edge cloud data centers where resources are scarce. Edge cloud data centers are also gaining attention because of their promise to provide responsive, low-latency shared computing and storage resources. Bringing serverless capabilities to edge cloud data centers must continue to achieve the goals of low latency and reliability. The reliability guarantees provided by serverless computing however are weak, with node failures causing requests to be dropped or executed multiple times. Thus serverless computing only provides a best effort infrastructure, leaving application developers responsible for implementing stronger reliability guarantees at a higher level. Current approaches for providing stronger semantics such as “exactly once” guarantees could be integrated into serverless platforms, but they come at high cost in terms of both latency and resource consumption. As edge cloud services move towards applications such as autonomous vehicle control that require strong guarantees for both reliability and performance, these approaches may no longer be sufficient. In this paper we evaluate the latency, throughput, and resource costs of providing different reliability guarantees, with a focus on these emerging edge cloud platforms and applications.
{"title":"Living on the Edge: Serverless Computing and the Cost of Failure Resiliency","authors":"Sameer G. Kulkarni, Guyue Liu, K. Ramakrishnan, Timothy Wood","doi":"10.1109/LANMAN.2019.8846970","DOIUrl":"https://doi.org/10.1109/LANMAN.2019.8846970","url":null,"abstract":"Serverless computing platforms have gained popularity because they allow easy deployment of services in a highly scalable and cost-effective manner. By enabling just-in-time startup of container-based services, these platforms can achieve good multiplexing and automatically respond to traffic growth, making them particularly desirable for edge cloud data centers where resources are scarce. Edge cloud data centers are also gaining attention because of their promise to provide responsive, low-latency shared computing and storage resources. Bringing serverless capabilities to edge cloud data centers must continue to achieve the goals of low latency and reliability. The reliability guarantees provided by serverless computing however are weak, with node failures causing requests to be dropped or executed multiple times. Thus serverless computing only provides a best effort infrastructure, leaving application developers responsible for implementing stronger reliability guarantees at a higher level. Current approaches for providing stronger semantics such as “exactly once” guarantees could be integrated into serverless platforms, but they come at high cost in terms of both latency and resource consumption. As edge cloud services move towards applications such as autonomous vehicle control that require strong guarantees for both reliability and performance, these approaches may no longer be sufficient. In this paper we evaluate the latency, throughput, and resource costs of providing different reliability guarantees, with a focus on these emerging edge cloud platforms and applications.","PeriodicalId":214356,"journal":{"name":"2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115227388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/LANMAN.2019.8847127
M. Sardara, Jacques Samain, J. Augé, G. Carofiglio
The future landscape of a heterogeneous and unified access (WiFi and Cellular), where users and applications interact with heterogeneous multi-cloud networks, with many different services collaborating together, poses significant challenges to ISP, Enterprises, Cloud Providers and the applications themselves, in particular in terms of Policies, Security and QoE. In this demonstration we showcase the potential of Hybrid ICN (hICN) in the context of enforcing inter-domain policies: exploiting the connection-less, app-aware, multipoint transport of hICN we are able to manage policies on a per-application basis, combining multiple objectives of different players (ISP, Enterprise, Users) in a dynamic and seamless manner.
{"title":"Application-specific policy-driven 5G Transport with Hybrid ICN","authors":"M. Sardara, Jacques Samain, J. Augé, G. Carofiglio","doi":"10.1109/LANMAN.2019.8847127","DOIUrl":"https://doi.org/10.1109/LANMAN.2019.8847127","url":null,"abstract":"The future landscape of a heterogeneous and unified access (WiFi and Cellular), where users and applications interact with heterogeneous multi-cloud networks, with many different services collaborating together, poses significant challenges to ISP, Enterprises, Cloud Providers and the applications themselves, in particular in terms of Policies, Security and QoE. In this demonstration we showcase the potential of Hybrid ICN (hICN) in the context of enforcing inter-domain policies: exploiting the connection-less, app-aware, multipoint transport of hICN we are able to manage policies on a per-application basis, combining multiple objectives of different players (ISP, Enterprise, Users) in a dynamic and seamless manner.","PeriodicalId":214356,"journal":{"name":"2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"134 22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126093783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/LANMAN.2019.8847116
Jason J. Quinlan, K. Ramakrishnan, C. Sreenan
As the next generation of cellular networks (5G) nears deployment, autonomous smart nodes, such as Internet of Things (IoT) and vehicular devices, are being developed to take advantage of increased throughput and improved resiliency offered by the new link layer protocols of 5G. Evaluating the impact of real-time 5G air-interface scheduling algorithms on the stringent real-time delivery needs of these devices and their new applications is no small feat. In this short paper, we expand upon the mmwave (5G) module for NS-3 and present DI5GUISE, a configurable and highly dynamic real-time simulated testbed framework, through which the impact of these smart nodes can be investigated. We utilise real-time video delivery as an example of applications with high throughput requirements. The experimental results illustrate that even on low cost commodity hardware, such as Raspberry Pis, over 80Mbps per client of real-time streaming of 4K content can be achieved.
{"title":"DI5GUISE: A highly Dynamic Framework for Real-Time Simulated 5G Evaluation","authors":"Jason J. Quinlan, K. Ramakrishnan, C. Sreenan","doi":"10.1109/LANMAN.2019.8847116","DOIUrl":"https://doi.org/10.1109/LANMAN.2019.8847116","url":null,"abstract":"As the next generation of cellular networks (5G) nears deployment, autonomous smart nodes, such as Internet of Things (IoT) and vehicular devices, are being developed to take advantage of increased throughput and improved resiliency offered by the new link layer protocols of 5G. Evaluating the impact of real-time 5G air-interface scheduling algorithms on the stringent real-time delivery needs of these devices and their new applications is no small feat. In this short paper, we expand upon the mmwave (5G) module for NS-3 and present DI5GUISE, a configurable and highly dynamic real-time simulated testbed framework, through which the impact of these smart nodes can be investigated. We utilise real-time video delivery as an example of applications with high throughput requirements. The experimental results illustrate that even on low cost commodity hardware, such as Raspberry Pis, over 80Mbps per client of real-time streaming of 4K content can be achieved.","PeriodicalId":214356,"journal":{"name":"2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125481864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/LANMAN.2019.8846985
Ning Yang, Kang-Peng Chen, Yaoqing Liu
Connected vehicle (CV) has emerged as a new computing and networking paradigm recently that can enable many beneficial CV applications. In this paper, we argue that Named Data Networking (NDN) presents a good synergy with the needs of CV applications. This drives us to propose an NDN based CV application framework with a distributed data service model. However, the fast mobility and vast moving area of vehicles lead to significant challenges on the efficiency and scalability of the underlying NDN backbone in the framework. To handle this issue, we propose a novel hierarchical hyperbolic NDN architecture (H2NDN). By taking advantage of the location dependency of CV applications, we design a hierarchical router topology and the associated namespace. This enables Interest packets from CV applications to be forwarded towards Data (cache) holders efficiently through static FIB configuration. However, the resultant hierarchical routing can easily overload high-level routers. Thus, we further integrate hyperbolic routing into the architecture through carefully designed hyperbolic planes in the hierarchical topology. As a result, the load is better balanced to ensure the overall scalability. Finally, extensive NDNsim based simulation with real traffic data proves the efficiency and scalability of the proposed H2NDN architecture.
{"title":"H2NDN: Supporting Connected Vehicle Applications with Hierarchical Hyperbolic NDN","authors":"Ning Yang, Kang-Peng Chen, Yaoqing Liu","doi":"10.1109/LANMAN.2019.8846985","DOIUrl":"https://doi.org/10.1109/LANMAN.2019.8846985","url":null,"abstract":"Connected vehicle (CV) has emerged as a new computing and networking paradigm recently that can enable many beneficial CV applications. In this paper, we argue that Named Data Networking (NDN) presents a good synergy with the needs of CV applications. This drives us to propose an NDN based CV application framework with a distributed data service model. However, the fast mobility and vast moving area of vehicles lead to significant challenges on the efficiency and scalability of the underlying NDN backbone in the framework. To handle this issue, we propose a novel hierarchical hyperbolic NDN architecture (H2NDN). By taking advantage of the location dependency of CV applications, we design a hierarchical router topology and the associated namespace. This enables Interest packets from CV applications to be forwarded towards Data (cache) holders efficiently through static FIB configuration. However, the resultant hierarchical routing can easily overload high-level routers. Thus, we further integrate hyperbolic routing into the architecture through carefully designed hyperbolic planes in the hierarchical topology. As a result, the load is better balanced to ensure the overall scalability. Finally, extensive NDNsim based simulation with real traffic data proves the efficiency and scalability of the proposed H2NDN architecture.","PeriodicalId":214356,"journal":{"name":"2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114248685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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