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DTSTART;TZID=America/New_York:20241118T090000
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UID:submissions.supercomputing.org_SC24_sess750@linklings.com
SUMMARY:The 11th Annual International Workshop on Innovating the Network f
 or Data Intensive Science - INDIS
DESCRIPTION:The needs of science networks are rapidly evolving. High-volum
 e data distribution in High Energy Physics, Astronomy, and Light-Sources i
 s seeing a new wave of Artificial Intelligence (AI)-dominated research. No
 t only AI is driving applications on the networks, but AI now also gets ap
 plied in harnessing the complexity of the networks. Potential applications
  of Quantum networks and deployed network testbeds, possibly connected wit
 h regional supercomputers, can serve the new science demands. The proposed
  INDIS workshop encourages high-end research and state-of-the-practice pap
 ers that address one or more of these networking needs, and developments t
 hat are essential in the cyberinfrastructure for the scientific discovery 
 process. The workshop also serves as a platform for participants in Networ
 k Research Exhibitions, Experimental Networks of the Future, and SCinet to
  submit and present papers on their latest innovations, designs, and solut
 ions, and also to showcase the next generation of networking challenges an
 d solutions for HPC.\n\nInvited Talk - Complexity and Deployment by Russ W
 hite, Akamai\n\nThe internet community has a long history of designing new
  protocols to solve current (and sometimes urgent) problems in network eng
 ineering. Not many of these protocols, however, end up widely deployed—and
  those that are widely deployed often end up being used in ways completely
  different tha...\n\n\nRuss White (Akamai)\n---------------------\nImprovi
 ng transition to IPv6-only via RFC8925 and IPv4 DNS Interventions\n\nFour 
 years have passed since the United States Government mandated federal agen
 cies to complete the transition to Internet Protocol version 6 (IPv6). Des
 pite the IPv4 address shortage and IPv6 mandate, Federally Funded Research
  and Development Centers (FFRDCs) are still struggling to sunset IPv4. As.
 ..\n\n\nTom Costello (Argonne National Laboratory (ANL)); Nick Buraglio (E
 nergy Sciences Network (ESnet)); and Andy Fleming, Ben Tasker, and Brandon
  Siegel (Argonne National Laboratory (ANL))\n---------------------\nOutsta
 nding Paper Award and Closing Remarks by the Workshop Organizers\n\nAkbar 
 Kara (Ciena External Research, SCinet) and Anees Al-Najjar PhD (Oak Ridge 
 National Laboratory (ORNL), SCinet)\n---------------------\nINDIS — Aftern
 oon Break\n---------------------\nINDIS — Lunch Break\n-------------------
 --\nLeveraging In-band Network Telemetry for Automated DDoS Detection in P
 roduction Programmable Networks: The AmLight Use Case\n\nProgrammable data
  planes have provided great flexibility in defining the behaviors of packe
 t forwarding switches, routers, and network interface cards (NICs). The In
 -band\nNetwork Telemetry (INT) technology further increased network operat
 ors’ potential to manage packet flows by enabling realti...\n\n\nHadi Sahi
 n, Jeronimo Bezerra, and Italo Brito (Florida International University, CI
 ARA); Renata Frez (Rede Nacional de Ensino e Pesquisa); and Vasilka Chergo
 va, Luis Fernandez Lopez, and Julio Ibarra (Florida International Universi
 ty, CIARA)\n---------------------\nKeynote: DOE’s Integrated Research Infr
 astructure in the AI Era\n\nKeynote at the INDIS Workshop\n\n\nBen Brown (
 US Department of Energy)\n---------------------\nRecent Linux Improvements
  that Impact TCP Throughput: Insights from R&E Networks\n\nThis paper revi
 ews recent enhancements to the Linux kernel that impact network throughput
 , and their potential impact on Data Transfer Node (DTN) performance. In p
 articular, we explore the benefits of MSG ZEROCOPY and BIG TCP in controll
 ed testbed environments at AmLight and ESnet. We compare perfor...\n\n\nMa
 rcos Schwarz (Rede Nacional de Ensino e Pesquisa); Brian Tierney, Kiran Va
 su, and Eli Dart (Energy Sciences Network (ESnet)); Christian Rothenberg (
 Universidade Estadual de Campinas, Brazil); and Jeronimo Bezerra and Italo
  Valcy (Florida International University)\n---------------------\nA Study 
 of a Deterministic Networking Framework for Latency Critical Large Scienti
 fic Data Transfers\n\nScientific workflows often involve large data transf
 ers, which increasingly require completion-time guarantees.  To support th
 ese time-sensitive flows, the Energy Science Network (ESnet) has implement
 ed on-demand circuits with packet priority, allowing the circuit to be uti
 lized by other traffic whe...\n\n\nDipak Ghosal (University of California,
  Davis) and Kesheng Wu (Lawrence Berkeley National Laboratory (LBNL))\n---
 ------------------\nEntanglement Capacity Estimates and Throughput Measure
 ments of Quantum Channels\n\nThe throughput  is an important performance m
 etric of entangled qubit distribution quantum networks, and is characteriz
 ed by the number of distributed entangled pairs of entanglement bits per s
 econd (ebps). It is measured over physical connections using specialized i
 nstruments, including photonic en...\n\n\nNageswara S. Rao, Muneer Alshowk
 an, Joseph Chapman, Nicholas Peters, and Hsuan-Hao Lu (Oak Ridge National 
 Laboratory (ORNL)); Joseph Lukens (Arizona State University); and Saikat G
 uha (University of Maryland)\n---------------------\nInvited Talk - Agile 
 Network Management: The Impact of Automation and Orchestration by Prof. So
 nja Filiposka, UKIM\n\nAgile Network Management: The Impact of Automation 
 and Orchestration\n\n\nSonja Filiposka (Ss. Cyril and Methodius University
  in Skopje (UKIM), North Macedonia)\n---------------------\nSANReN’s 100 G
 bps Data Transfer Service: Transferring data fast!\n\nTransferring large a
 mounts of data poses a significant challenge, often resulting in poor perf
 ormance and slow speeds. With the upgrade of the core national South Afric
 an National Research Network (SANReN) backbone network capacity, 100 Gbps 
 DTNs have been implemented in Cape Town and Johannesburg, ...\n\n\nKasandr
 a Pillay, Johann Hugo, Ajay Makan, Thokozani Khwela, Thuso Bogopa, and Man
 qoba Shabalala (Council for Scientific and Industrial Research (CSIR), Sou
 th Africa)\n---------------------\nSecure Collaborative Model Training wit
 h Dynamic Federated Learning in Multi-Domain Environments\n\nAccording to 
 the European Union Aviation Safety Agency (EASA), AI-based algorithms, com
 bined with extensive fleet data, could enable early detection of potential
  engine failures, leading to proactive predictive maintenance in air trave
 l. At a global level, the Independent Data Consortium for Aviatio...\n\n\n
 Anestis Dalgkitsis, Alexandros Koufakis, Jorrit Stutterheim, Aleandro Mifs
 ud, Priyanka Atwani, Leon Gommans, Cees de Laat, Chrysa Papagianni, and An
 a Oprescu (University of Amsterdam, Netherlands)\n---------------------\nW
 elcome Remarks by the SCinet Chair and Overview of SCinet Architecture\n\n
 Angie Asmus (Colorado State University)\n---------------------\nINDIS — Mo
 rning Break\n---------------------\nPanel on Network Research Exhibitions 
 Powered by SCinet and its Partners\n\nThis panel will showcase groundbreak
 ing advancements in high-speed networking, as demonstrated by this year’s 
 Network Research Exhibition (NRE) participants. Bringing together experts 
 from academia, research institutions, and industry, the session will explo
 re cutting-edge innovations in netwo...\n\n\nCees deLaat (University of Am
 sterdam, Netherlands)\n---------------------\nFramework for Integrating Ma
 chine Learning Methods for Path-Aware Source Routing\n\nSince the advent o
 f software-defined networking (SDN), Traffic Engineering (TE) has been hig
 hlighted as one of the key applications that can be achieved through softw
 are-controlled protocols. TE problems involve difficult decisions such as 
 allocating flows, either via splitting them among multiple p...\n\n\nAnees
  Al-Najjar (Oak Ridge National Laboratory (ORNL)); Domingos Paraiso (Feder
 al University of Espírito Santo, Department of Informatics); Mariam Kiran 
 (Oak Ridge National Laboratory (ORNL)); Cristina Dominicini, Everson Borge
 s, Rafael Guimaraes, and Magnos Martinello (Federal University of Espírito
  Santo, Department of Informatics); and Harvey Newman (California Institut
 e of Technology)\n---------------------\nOn Scaling Neuronal Network Simul
 ations Using Distributed Computing\n\nWe investigated the computational ca
 pabilities of FABRIC, a nationwide research infrastructure with nearly 40 
 sites, for scaling neuroscience simulations. From the hardware standpoint,
  single-site characterization showed that FABRIC is a promising alternativ
 e to conventional neuroscience setups, par...\n\n\nVladimir Omelyusik, Kha
 war Shehzad, Tyler Banks, Praveen Rao, and Satish Nair (University of Miss
 ouri, Columbia)\n---------------------\nLIDC: A Location Independent Multi
 -Cluster Computing Framework for Data Intensive Science\n\nScientific comm
 unities are increasingly using geographically distributed computing platfo
 rms. The current methods of compute placement predominantly use logically 
 centralized controllers such as Kubernetes (K8s) to match tasks to availab
 le resources. However, this centralized approach is unsuitable ...\n\n\nSu
 smit Shannigrahi and Sankalpa Timilsina (Tennessee Technological Universit
 y)\n---------------------\nQNTN: Establishing a Regional Quantum Network i
 n Tennessee\n\nThis paper investigates the design of a regional Quantum Ne
 twork in Tennessee (QNTN) that will connect three quantum local area netwo
 rks in different cities. We explore two approaches for achieving this inte
 rconnection: deploying a satellite constellation in the space layer and em
 ploying high-altitu...\n\n\nMohamed Shaban (Tennessee Technological Univer
 sity, Alexandria University); Muhammad Ismail (Tennessee Technological Uni
 versity); and Mariam Kiran (Oak Ridge National Laboratory (ORNL))\n-------
 --------------\nJupyter Notebook Attacks Taxonomy: Ransomware, Data Exfilt
 ration, and Security Misconfiguration\n\nOpen-science collaboration using 
 Jupyter Notebooks may expose expensively trained AI models, high-performan
 ce computing resources, and training data to security vulnerabilities, suc
 h as unauthorized access, accidental deletion, or misuse. The ubiquitous d
 eployments of Jupyter Notebooks (≈ 11 m...\n\n\nPhuong Cao (University of 
 Illinois Urbana-Champaign, National Center for Supercomputing Applications
  (NCSA))\n---------------------\nNew Techniques to Route in Folded-Clos To
 pology Data Center Networks\n\nNew architectures and topologies continue t
 o be investigated to address the growing demands and challenges faced by D
 ata Center Networks (DCN) - the communications backbone of the datacenter.
  We believe that novel techniques that leverage the high redundancy and sy
 mmetricity in DCN topologies can si...\n\n\nNirmala Shenoy, Peter Willis, 
 Yin Pan, Bill Stackpole, and John Hamilton (Rochester Institute of Technol
 ogy)\n\nTag: Architecture, Network, Performance Optimization, System Admin
 istration\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: A
 kbar Kara (Ciena, SCinet); Anees Al-Najjar (Oak Ridge National Laboratory 
 (ORNL), SCinet); and Nik Sultana (Illinois Institute of Technology, SCinet
 )
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