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UID:submissions.supercomputing.org_SC20_sess210@linklings.com
SUMMARY:INDIS 2020: The 7th International Workshop on Innovating the Netwo
 rk for Data-Intensive Science
DESCRIPTION:SCinet, Workshop\n\nMany fields of science continue to experie
 nce a large influx of data. Managing and transporting data, architecting s
 ystems, as well as building tools to cope with the delivery of this data h
 as become increasingly important. Furthermore, the ecosystem of informatio
 n and communication frameworks supporting data management and transport is
  becoming more and more complex. Networks for data-intensive sciences have
  more extreme requirements than general-purpose networks. These requiremen
 ts not only closely impact the design of processor interconnects in superc
 omputers and cluster computers, but they also impact campus networks, regi
 onal networks and national backbone networks. In addition, wide area netwo
 rks are now an integral and essential part of this data-driven supercomput
 ing ecosystem connecting information sources, data storage, processing, si
 mulation, visualization, real-time user interaction and user communities t
 ogether.\n\nThe INDIS workshop brings together network engineers and resea
 rchers to share challenges and potential solutions in the information syst
 ems and networking communities. With its inaugural appearance at SC14 in N
 ew Orleans, INDIS has become an academic forum for experts, researchers, a
 nd engineers in research and education (R&E) networking.\n\nXNET Lightning
  Talk: Extending the Research Engineering Network to the Wireless Edge\n\n
 Wiedlea\n\nThe Energy Sciences Network (ESnet) provides high-speed reliabl
 e data backhaul to the US DOE, and affiliated research programs globally. 
 Future generations of this network will support terabit class performance 
 as well as integration with extended, intelligent orchestration, allowing 
 storage, comput...\n\n---------------------\nNRE Demo Talk I: P4 Experimen
 tal Networks for the Global Research Platform\n\nChen\n\n-----------------
 ----\nNetwork Research Exhibition: An Introduction\n\nWheeler, Velders\n\n
 The SC Conference Series has cultivated a test bed for cutting-edge develo
 pments in high-performance networking, computing, storage, and analysis. N
 etwork Research Exhibition (NRE) demonstrations have leveraged the advance
 d capabilities of SCinet, SC’s dedicated high-capacity network. Network re
 sear...\n\n---------------------\nNRE Demo Talk II: Advanced Data Algorith
 ms and Architectures for Security Monitoring\n\nKroeger\n\n---------------
 ------\nA Brief History of INDIS\n\nde Laat\n\nIn this 5 minute introducti
 on, I present the history of the INDIS Workshop series.\n\n---------------
 ------\nINDIS – Keynote: "Grand" Challenges for a Science Mission Network\
 n\nGuok\n\nThe exponential growth in science traffic today is motivated by
  the construction of new experiments, larger instruments, and better senso
 rs.  This accelerating demand for bandwidth has highlighted a simple fact,
  that continuing to just build bigger and faster networks is no longer a v
 iable solution ...\n\n---------------------\nIntroduction to SCinet\n\nHay
 den\n\n---------------------\nAI for Networking: the Engineering Perspecti
 ve\n\nKiran\n\nThis talk explores machine learning, deep learning and AI t
 echniques when applied to operational networking and distributed computing
  problems.  With advances in computing, data is being produced at exponent
 ial rates requiring highly flexible mobility across HPC computing and dist
 ributed facilities....\n\n---------------------\nXNET Lightning Talk: The 
 BRIDGES Project – Building a Global Cyber-Infrastructure Canvas Supporting
  Networked Applications Experimentation and Evolution\n\nSobieski\n\n-----
 ----------------\nINDIS – End of Day\n\n\n\n---------------------\nINDIS –
  Welcome Message\n\nZhu, Kiran, Neuwirth\n\n---------------------\nINDIS –
  Break\n\n\n\n---------------------\nXNET Lightning Talk: FABRIC/FAB Deep 
 Dive\n\nBaldin, Nikolich\n\nFABRIC is a unique national research infrastru
 cture to enable cutting-edge, and exploratory research at-scale in compute
 r networking, distributed computing systems, and applications. It is a pla
 tform on which researchers will experiment with new ideas that will become
  building blocks of the next gen...\n\n---------------------\nINDIS – Intr
 oduction: Innovating the Network for Data-Intensive Science\n\nZhu, Neuwir
 th, Kiran\n\nMany fields of science continue to experience a large influx 
 of data.  Managing and transporting data, architecting systems and buildin
 g tools to deal with the delivery of these data have become increasingly i
 mportant. Additionally, the ecosystem of information and communications fr
 ameworks supporti...\n\n---------------------\nPanel Discussion: Experimen
 tal Networks (XNET)\n\nde Laat, Kissel, Nikolich, Baldin, Sobieski...\n\n-
 --------------------\nKeynote: Enhancing Distributed Computing with Progra
 mmable and Open Optical Networks\n\nFumagalli\n\nEdge computing is an attr
 active solution to efficiently provide compute resources to many applicati
 ons that demand specific QoS requirements. The edge computing resources ar
 e in close geographical proximity to where the applications’ data originat
 e from and/or are being supplied to, thus avoiding un...\n\n--------------
 -------\nINDIS – Break\n\n\n\n---------------------\nINDIS – Break\n\n\n\n
 ---------------------\nXNET Lightning Talk: Quantum Networking\n\nMonga\n\
 n---------------------\nXNET Lightning Talk: SAGE: AI at the Edge for Soft
 ware-Defined Wireless Sensors\n\nBeckman\n\n---------------------\nSCinet 
 Architecture: Past, Present, Future\n\nVelders\n\n---------------------\nI
 NDIS – Closing Remarks\n\nZhu, Kiran, Neuwirth\n\n---------------------\nU
 sing P4 and RDMA to Collect Telemetry Data\n\nBeltman, Knossen, Hill, Gros
 so\n\nTelemetry data can be carried within network packets as they transit
  through the network. This in-band telemetry requires in turn to have effi
 cient means for the collection and processing of these data. We show how t
 he P4 language can be used to extract telemetry data from incoming packets
 , as it al...\n\n---------------------\nThe NetSage Measurement Framework:
  Design, Development, and Discoveries\n\nTurner, Khanal, Seto-Mook, Gonzal
 ez, Leigh...\n\nData sharing to support research collaborations has increa
 sed exponentially in the last ten years, but effective data transfers are 
 getting harder to achieve. The NetSage Measurement framework was developed
  to support understanding research data movement by collecting a broad set
  of data from resour...\n\n---------------------\nAn Evaluation of Etherne
 t Performance for Scientific Workloads\n\nKenny, Wilke, Ulmer, Baker, Knig
 ht...\n\nPriority-based Flow Control (PFC), RDMA over Converged Ethernet (
 RoCE) and Enhanced Transmission Selection (ETS) are three enhancements to 
 Ethernet networks which allow increased performance and may make Ethernet 
 attractive for systems supporting a diverse scientific workload. We constr
 ucted a 96-no...\n\n---------------------\nROBIN (RuciO/BIgData Express/SE
 NSE):  A Next-Generation High-Performance Data Service Platform\n\nWu, Zha
 ng, Lu, Demar, Illingworth...\n\nIncreasingly, scientific research discove
 ry depends on the analysis of extremely large amounts of data. This data i
 s gathered through very large scientific instruments, very large numbers o
 f small devices, and mid-scale instruments. These devices generate exponen
 tially increasing volumes of data. Su...\n\n---------------------\nA Trial
  Deployment of a Reliable Network-Multicast Application across Internet2\n
 \nTan, Veeraraghavan, Lee, Emmerson, Davidson\n\nA continuing trend in man
 y scientific disciplines is the growth in the volume of data collected by 
 scientific instruments and the desire to rapidly and efficiently distribut
 e this data to the scientific community. Transferring these large data set
 s to a geographically distributed research community ...\n\n--------------
 -------\nComputing Bottleneck Structures at Scale for High-Precision Netwo
 rk Performance Analysis\n\nAmsel, Ros-Giralt, Yellamraju, Ezick, von Hofe.
 ..\n\nThe Theory of Bottleneck Structures is a recently-introduced framewo
 rk for studying the performance of data networks that describes how local 
 perturbations in one part of the network propagate and interact with one a
 nother. This frame- work provides a powerful analytical tool for network o
 perators t...\n\n---------------------\nApplication Aware Software Defined
  Flows of Workflow Ensembles\n\nPapadimitriou, Lyons, Wang, Thareja, Tanak
 a...\n\nComputational science depends on complex, data intensive applicati
 ons operating on datasets from a variety of scientific instruments. A majo
 r challenge is the integration of data into the scientist’s workflow. Rece
 nt advances in dynamic, networked cloud resources provide the building blo
 cks to const...\n\n---------------------\nPanel Introduction: Experimental
  Networks (XNET)\n\nde Laat, Kissel\n\n\nTag: Big Data, Data Analytics, Co
 mpression, and Management, Datacenter, Networks, Performance/Productivity 
 Measurement and Evaluation, SCinet, Software-defined networking\n\nRegistr
 ation Category: Workshop Reg Pass
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