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1. A Trial Deployment of a Reliable Network-Multicast Application across Internet2

   https://doi.org/10.1109/INDIS51933.2020.00008  

   Tan, Yuanlong; Veeraraghavan, Malathi; Lee, Hwajung; Emmerson, Steve; Davidson, Jack (November 2020, 2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS))

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   A continuing trend in many scientific disciplines is the growth in the volume of data collected by scientific instruments and the desire to rapidly and efficiently distribute this data to the scientific community. Transferring these large data sets to a geographically distributed research community consumes significant network bandwidth. As both the data volume and number of subscribers grows, reliable network multicast is a promising approach to reduce the rate of growth of the bandwidth needed to support efficient data distribution. In prior work, we identified a need for reliable network multicast: scientists engaged in atmospheric research subscribing to meteorological file-streams. Specifically, the University Cooperation Atmospheric Research (UCAR) uses the Local Data Manager (LDM) to disseminate data. This work describes a trial deployment of a multicast-enabled LDM, in which eight university campuses are connected via corresponding regional Research-and-Education Networks (RENs) and Internet2. Using this deployment, we evaluated the new version of LDM, LDM7, which uses network multicast with a reliable transport protocol, and leverages Layer-2 (L2) multipoint Virtual LAN (VLANIMPLS). A performance monitoring system was deployed to collect real-time performance of LDM7, which showed that our proof-of-concept prototype worked significantly better than the current production LDM, LDM6, in two ways: (i) LDM7 can distribute file streams faster than LDM6. With six subscribers, an almost 22-fold improvement was observed with LDM7 at 100 Mbps. And (ii) to achieve a similar performance, LDM7 significantly reduces the need for bandwidth, which reduced the bandwidth requirement by about 90% over LDM6 to achieve 20 Mbps average throughput across four subscribers. 

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2. Advances in Reliable File-Stream Multicasting over Multi-Domain Software Defined Networks (SDN)

   https://doi.org/10.1109/ICCCN.2019.8847110  

   Tan, Yuanlong; Chen, Shuoshuo; Emmerson, Steve; Zhang, Yizhe; Veeraraghavan, Malathi (September 2019, 2019 28th International Conference on Computer Communication and Networks (ICCCN))

   In prior work, we proposed a cross-layer architecture called Multicast-Push Unicast-Pull (MPUP) for Software Defined Networks (SDN) to support a reliable file-stream multicast application. In this work, we improved the algorithms used to set parameters: transport-layer sender retransmission timer, VLAN rate (which is also the sending rate) and sender-buffer size. Experimental evaluation using feeds with metadata collected from real meteorology file streams was conducted. A significant finding is that the throughput achieved is smaller than the VLAN/sending rate even though file blocks are multicast continuously in UDP datagrams. Sender-buffer waiting times and propagation delays are the main reasons for the degraded throughput. For example, increasing the VLAN rate from 20 Mbps to 500 Mbps, reduced the degradation from 90% to 45%. However, the degradation increased from 45% to 58% when the VLAN rate was increased from 500 Mbps to 1 Gbps. We found an increase in the number of block retransmissions at the higher rates, which explains this increased degradation. Increasing RTT from 0.1 ms to 100 ms caused throughput to drop from 274.8 Mbps to 27.6 Mbps on a 500 Mbps VLAN. If transmission delay was a significant component in total latency, then throughput degradation relative to VLAN rate would be small; however, the meteorology file-streams used in our study have small-sized data products. Due to bandwidth borrowing between VLAN and IP-routed services, VLAN utilization is not important, and hence we recommend using the smallest rate at which sender-buffer waiting times are insignificant. 

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3. Reliable Provisioning of Low-Latency and High-Bandwidth Extended Reality Live Streams

   https://doi.org/10.1109/JSAC.2025.3543502  

   Le, Giap; Hoang, Vinh Truong; Ferdousi, Sifat; Marotta, Andrea; Xu, Sugang; Hirota, Yusuke; Awaji, Yoshinari; Tornatore, Massimo; Mukherjee, Biswanath (May 2025, IEEE Journal on Selected Areas in Communications)

   The networking industry is offering new services leveraging recent technological advances in connectivity, storage, and computing such as mobile communications and edge computing. In this regard, extended reality, a term encompassing virtual reality, augmented reality, and mixed reality, can provide unprecedented user experience and pioneering service opportunities such as: live concerts, sports, and other events; interactive gaming and entertainment; immersive education, training, and demos. These services require high-bandwidth, low-latency, and reliable connections, and are supported by next-generation ultra-reliable and low-latency communications in the vision of 6G mobile communication systems. In this work, we devise a novel scheme, called backup from different data centers with multicast and adaptive bandwidth provisioning, to admit reliable, low-latency, and high-bandwidth extended reality live streams in next-generation networks. We consider network services where contents are non-cacheable and investigate how backup services can be offered by different data centers with multicast and adaptive bandwidth provisioning. Our proposed service-provisioning scheme provides protection not only against link failures in the physical network but also against computing and storage failures in data centers. We develop scalable algorithms for the service-provisioning scheme and evaluate their performance on various complex network instances in a dynamic environment. Numerical results show that, compared to conventional service-provisioning schemes such as those seeking backup services from the same data center, our proposed service-provisioning scheme efficiently utilizes network resources, ensures higher reliability, and guarantees low latency; hence, it is highly suitable for extended reality live streams. 

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4. Analyzing Scientific Data Sharing Patterns for In-network Data Caching

   https://doi.org/10.1145/3452411.3464441  

   Copps, Elizabeth; Zhang, Huiyi; Sim, Alex; Wu, Kesheng; Monga, Inder; Guok, Chin; Würthwein, Frank; Davila, Diego; Fajardo, Edgar (June 2021, SNTA '21: Proceedings of the 2021 on Systems and Network Telemetry and Analytics)

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   The volume of data moving through a network increases with new scientific experiments and simulations. Network bandwidth requirements also increase proportionally to deliver data within a certain time frame. We observe that a significant portion of the popular dataset is transferred multiple times to different users as well as to the same user for various reasons. In-network data caching for the shared data has shown to reduce the redundant data transfers and consequently save network traffic volume. In addition, overall application performance is expected to improve with in-network caching because access to the locally cached data results in lower latency. This paper shows how much data was shared over the study period, how much network traffic volume was consequently saved, and how much the temporary in-network caching increased the scientific application performance. It also analyzes data access patterns in applications and the impacts of caching nodes on the regional data repository. From the results, we observed that the network bandwidth demand was reduced by nearly a factor of 3 over the study period. 

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5. PanTera: RF-SoC Testbed using PYNQ Platform for 147 GHz SDR with 64 Mbps at up to 2 km

   https://doi.org/10.1109/MILCOM61039.2024.10773743  

   Karunanayake, Kasun; Singh, Arjun; Jornet, Josep; Madanayake, Arjuna (October 2024, IEEE)

   Sub-terahertz (THz) wireless communication links require low-SWaP (size, weight, and power) software defined radio (SDR) modems to achieve efficient and reliable data transmission. This research presents the design, development, and experimentation of an SDR system operating in the 135-150 GHz frequency range, utilizing simple I/Q modulation techniques such as differential binary phase shift keying (DBPSK). The system integrates advanced components, including Virginia Diodes (VDI) 110-170 GHz compact upconverter (CCU) and compact downconverter (CCD), high-gain lens horn antennas from Anteral (40 dBi), and the Xilinx RF-SoC ZCU-111 for real time DSP. A 500 MHz IF is implemented on RF-SoC with baseband bandwidth 64 MHz and data rate 64 Mbps via DBPSK modulation. For 20 dBm transmit power at 147 GHz, the nearfield SNR was measured to be 55 dB at 1m lens-to-lens separation for a baseband of 64 MHz. Simulation models of propagation predict 64 Mbps is possibly viable at up to 2 km in a point-to-point connection for a BER of < 10−3. The SDR was realized on the Xilinx PYNQ platform, offering a user-friendly interface while being adaptable to high data rate applications. This digital design is particularly suited for deployment in scenarios such as vehicle-to-vehicle communication, backhaul networks, and data center level interconnects. The research explored challenges related to synchronization, signal integrity, and environmental sensitivity, which are critical for maintaining reliable communication in a 147 GHz channel. A real-time text messaging application demonstrated correct operation of the PYNQ modem. 

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