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

Tan, Yuanlong; Chen, Shuoshuo; Emmerson, Steve; Zhang, Yizhe; Veeraraghavan, Malathi

doi:10.1109/icccn.2019.8847110

Cited by 3 publications

(4 citation statements)

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“…Presumably the higher rate was overwhelming small buffers typically found in enterprise and data-center switches, or the receiver UDP buffer was being overwhelmed. A sweet spot of 500 Mbps was reported in a recent paper [10].…”

Section: Trial Deployment Over Multi-domain Sdnmentioning

confidence: 87%

“…Currently, the UCAR uses LDM6 to distribute meteorological data to 581 hosts in 217 domains in Unidata's IDD system [4]. And, we tested the proposed multicast solution over GENI and Chameleon testbed with 24 subscribers and 16 subscribers, respectively [9,10]. The goal of this trial deployment was to test the DRFSM architecture in a production, WAN multi-domain setting.…”

Section: Trial Deployment Over Multi-domain Sdnmentioning

confidence: 99%

“…Table 3 shows the experimental parameters that influence output metrics including feedtypes (file-streams), RTT on publisher-to-subscriber paths, packet loss rate, and VLAN rate limit [10]. We chose the NGRID feed (numerical model output from NOAA) as the file-stream to distribute, and a specific publisher (UCAR), but varied the VLAN rate limits, the set of subscribers (among the six subscribers, UVA, UWisc, UMD, U.Utah, UWash, and UCSD), and the simulated packet loss.…”

Section: Setupmentioning

confidence: 99%

“…In prior work, we described a network-multicast architecture to support reliable file-stream multicasting [9,10]. It has the following features: (i) Layer-2 (L2) multipoint Virtual LAN (VLAN) service, and (ii) File Multicast Transport Protocol (FMTP) [11], a reliable transport-layer protocol for delivering file-streams, which uses both UDP and TCP over the L2 network service.…”

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confidence: 99%

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High-performance reliable network-multicast over a trial deployment

et al. 2022

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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. As both the data volume and number of subscribers grows, a reliable network multicast is a promising approach to alleviate the demand for the bandwidth needed to support efficient data distribution to multiple, geographically-distributed, research communities. In prior work, we identified the need for a reliable network multicast: scientists engaged in atmospheric research subscribing to meteorological file-streams. An application called Local Data Manager (LDM) is used to disseminate meteorological data to hundreds of subscribers. This paper presents a high-performance, reliable network multicast solution, Dynamic Reliable File-Stream Multicast Service (DRFSM), and describes a trial deployment comprising eight university campuses connected via Research-and-Education Networks (RENs) and Internet2 and a DRFSM-enabled LDM (LDM7). Using this deployment, we evaluated the DRFSM architecture, which uses network multicast with a reliable transport protocol, and leverages Layer-2 (L2) multipoint Virtual LAN (VLAN/MPLS). A performance monitoring system was developed to collect the realtime performance of LDM7. The measurements showed that our proof-of-concept prototype worked significantly better than the current production LDM (LDM6) in two ways. First, LDM7 distributes data faster than LDM6. With six subscribers and a 100 Mbps bandwidth limit setting, an almost 22-fold improvement in delivery time was observed with LDM7. Second, LDM7 significantly reduces the bandwidth requirement needed to deliver data to subscribers. LDM7 needed 90% less bandwidth than LDM6 to achieve a 20 Mbps average throughput across four subscribers.

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Section: Trial Deployment Over Multi-domain Sdnmentioning

confidence: 87%

Section: Trial Deployment Over Multi-domain Sdnmentioning

confidence: 99%

Section: Setupmentioning

confidence: 99%

mentioning

confidence: 99%

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