Relevant bibliographies by topics / High Performance Networking

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'High Performance Networking'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "High Performance Networking"

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Gentzsch, W. "High Performance Computing and Networking." Future Generation Computer Systems 11, no. 4-5 (August 1995): 347–49. http://dx.doi.org/10.1016/0167-739x(95)00005-d.

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Williams, Roy. "High Performance Computing and Networking Europe 1999." Future Generation Computer Systems 16, no. 5 (March 2000): v—vi. http://dx.doi.org/10.1016/s0167-739x(00)00048-0.

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Heemink, Arnold W., and Jan C. Zuidervaart. "High performance computing and networking: Simulation practice." Simulation Practice and Theory 6, no. 2 (February 1998): 89. http://dx.doi.org/10.1016/s0928-4869(97)00042-6.

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Hoekstra, Alfons, and Arndt Bode. "High Performance Computing and Networking Europe 1997." Future Generation Computer Systems 13, no. 4-5 (March 1998): 247–49. http://dx.doi.org/10.1016/s0167-739x(98)00026-0.

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Liddell, Heather M. "High-Performance Computing and Networking Europe 1998." Future Generation Computer Systems 15, no. 3 (April 1999): 307–8. http://dx.doi.org/10.1016/s0167-739x(98)00075-2.

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Maeda, Chris, and Brian N. Bershad. "Protocol service decomposition for high-performance networking." ACM SIGOPS Operating Systems Review 27, no. 5 (December 1993): 244–55. http://dx.doi.org/10.1145/173668.168639.

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Lim, Sang Boem, Joon Woo, and Guohua Li. "Performance analysis of container-based networking solutions for high-performance computing cloud." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (April 1, 2020): 1507. http://dx.doi.org/10.11591/ijece.v10i2.pp1507-1514.

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Recently, cloud service providers have been gradually changing from virtual machine-based cloud infrastructures to container-based cloud-native infrastructures that consider performance and workload-management issues. Several data network performance issues for virtual instances have arisen, and various networking solutions have been newly developed or utilized. In this paper, we propose a solution suitable for a high-performance computing (HPC) cloud through a performance comparison analysis of container-based networking solutions. We constructed a supercomputer-based test-bed cluster to evaluate the serviceability by executing HPC jobs.
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Afsarmanesh, Hamideh, and Marian Bubak. "High-performance computing and networking enables complex applications." Future Generation Computer Systems 17, no. 8 (June 2001): v—vi. http://dx.doi.org/10.1016/s0167-739x(01)00031-0.

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Vicat-Blanc-Primet, Pascale. "Grid high performance networking in the DataGRID project." Future Generation Computer Systems 19, no. 2 (February 2003): 199–208. http://dx.doi.org/10.1016/s0167-739x(02)00146-2.

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Munro, W. J., K. A. Harrison, A. M. Stephens, S. J. Devitt, and Kae Nemoto. "From quantum multiplexing to high-performance quantum networking." Nature Photonics 4, no. 11 (August 29, 2010): 792–96. http://dx.doi.org/10.1038/nphoton.2010.213.

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Dissertations / Theses on the topic "High Performance Networking"

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Wallach, Deborah A. (Deborah Anne). "High-performance application-specific networking." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10261.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
Includes bibliographical references (p. 107-112).
by Deborah Anne Wallach.
Ph.D.
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Mehta, Anil. "MAC AND APPLICATION LAYER PROTOCOLS FOR HIGH PERFORMANCE NETWORKING." OpenSIUC, 2011. https://opensiuc.lib.siu.edu/dissertations/396.

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High-performance networking (HPN) is of significance today in order to enable next-generation applications using wired and wireless networks. Some of the examples of HPN include low-latency industrial sensing, monitoring and automation using Wireless Sensor Networks (WSNs). HPN however requires protocol optimization at many layers of the open system interface (OSI) network model in order to meet the stringent performance constraints of the given applications. Furthermore, these protocols need to be impervious to denial of service (DoS) and distributed DoS (DDoS) attacks. Some of the key performance aspects of HPN are low point-to-point and end-to-end latency, high reliability of transmitted frames and performance predictability under various network load situations. This work focuses on two discrete issues in designing protocols for HPN applications. The first research issue looks at the Medium Access Control (MAC) layer of the OSI network model for designing of MAC protocols that provide low-latency and high reliability for point-to-point communication under a WSN. Existing standards in this area are governed by IEEE 802.15.4 specification which defines protocols for MAC and PHY layers for short-range, low bit-rate, and low-cost wireless networks. However, the IEEE 802.15.4 specification is inefficient in terms of latency and reliability performance and, as a result, is unable to meet the stringent operational requirements as defined by counterpart wired sensor networks. Work presented under current research issue describes new MAC protocols that are able to show low-latency transmission performance under strict timing constants for power limited WSNs. This enhancement of the MAC protocols is named extended GTS (XGTS) contained under extended CFP (ECFP) and is published under the IEEE's 802.15.4e standard. The second research issue focuses on the application layer of the OSI network model to design protocols that enhance the robustness of the text based protocols to various traffic inputs. The purpose of this is to increase the reliability of the given text based application layer protocol under a varied load. Session Initiation Protocol (SIP) is used as a case study and the work aims to build algorithms that ensure that SIP can continue to function under specific traffic conditions, which would otherwise deem the protocol useless due to DoS and DDoS attacks. Proposed algorithms investigate techniques that enhance the robustness of the SIP against parsing attacks without performing a deep parse of the protocol data unit (PDU). The desired effect of this is to reduce the time spent in parsing the SIP messages at a SIP router and as a result increase the number of SIP messages processed per unit time at a SIP router.
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Valente, Fredy Joao. "An integrated parallel/distributed environment for high performance computing." Thesis, University of Southampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362138.

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Ahmad, R. Badlishah. "Performance analysis of optical buffered switching nodes in ultra high speed networking." Thesis, University of Strathclyde, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367046.

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Neel, Brian. "High Performance Shared Memory Networking in Future Many-core Architectures UsingOptical Interconnects." Ohio University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1397488118.

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Ansary, B. M. Saif. "High Performance Inter-kernel Communication and Networking in a Replicated-kernel Operating System." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/78338.

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Modern computer hardware platforms are moving towards high core-count and heterogeneous Instruction Set Architecture (ISA) processors to achieve improved performance as single core performance has reached its performance limit. These trends put the current monolithic SMP operating system (OS) under scrutiny in terms of scalability and portability. Proper pairing of computing workloads with computing resources has become increasingly arduous with traditional software architecture. One of the most promising emerging operating system architectures is the Multi-kernel. Multi-kernels not only address scalability issues, but also inherently support heterogeneity. Furthermore, provide an easy way to properly map computing workloads to the correct type of processing resources in presence of heterogeneity. Multi-kernels do so by partitioning the resources and running independent kernel instances and co-operating amongst themselves to present a unified view of the system to the application. Popcorn is one the most prominent multi-kernels today, which is unique in the sense that it runs multiple Linux instances on different cores or group of cores, and provides a unified view of the system i.e., Single System Image (SSI). This thesis presents four contributions. First, it introduces a filesystem for Popcorn, which is a vital part to provide a SSI. Popcorn supports thread/process migration that requires migration of file descriptors which is not provided by traditional filesystems as well as popular distributed file systems, this work proposes a scalable messaging based file descriptor migration and consistency protocol for Popcorn. Second, multi-kernel OSs rely heavily on a fast low latency messaging layer to be scalable. Messaging is even more important in heterogeneous systems where different types of cores are on different islands with no shared memory. Thus, another contribution proposes a fast-low latency messaging layer to enable communication among heterogeneous processor islands for Heterogeneous Popcorn. With advances in networking technology, newest Ethernet technologies are able to support up to 40 Gbps bandwidth, but due to scalability issues in monolithic kernels, the number of connections served per second does not scale with this increase in speed.Therefore, the third and fourth contributions try to address this problem with Snap Bean, a virtual network device and Angel, an opportunistic load balancer for Popcorn's network system. With the messaging layer Popcorn gets over 30% performance benefit over OpenCL and Intel Offloading technique (LEO). And with NetPopcorn we achieve over 7 to 8 times better performance over vanilla Linux and 2 to 5 times over state-of-the-art Affinity Accept .
Master of Science
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Jamaliannasrabadi, Saba. "High Performance Computing as a Service in the Cloud Using Software-Defined Networking." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1433963448.

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Ranadive, Adit Uday. "Virtualized resource management in high performance fabric clusters." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54241.

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Providing performance and isolation guarantees for applications running in virtualized datacenter environments requires continuous management of the underlying physical resources. For communication- and I/O-intensive applications running on such platforms, the management methods must adequately deal with the shared use of the high-performance fabrics these applications require. In particular, new classes of latency-sensitive and data-intensive workloads running in virtualized environments rely on emerging fabrics like 40+Gbps Ethernet and InfiniBand/RoCE with support for RDMA, VMM-bypass and hardware-level virtualization (SR-IOV). However, the benefits provided by these technology advances are offset by several management constraints: (i) the inability of the hypervisor to monitor the VMs’ usage of these fabrics can affect the platform’s ability to provide isolation and performance guarantees, (ii) the hypervisor cannot provide fine-grained I/O provisioning or perform management decisions for VMs, thus reducing the degree of consolidation that can be supported on the platforms, and (iii) without such support it is harder to integrate these fabrics into emerging cloud computing platforms and datacenter fabric management solutions. This is made particularly challenging for workloads spanning multiple VMs, utilizing physical resources distributed across multiple server nodes and the interconnection fabric. This thesis addresses the problem of realizing a flexible, dynamic resource management system for virtualized platforms with high performance fabrics. We make the following key contributions: (i) A lightweight monitoring tool, IBMon, integrated with the hypervisor to monitor VMs’ use of RDMA-enabled virtualized interconnects, using memory introspection techniques. (ii) The design and construction of a resource management system that leverages IBMon to provide latency-sensitive applications performance guarantees. This system is built on microeconomic principles of supply and demand and can be deployed on a per-node (Resource Exchange) or a multi-node (Distributed Resource Exchange) basis. Fine-grained resource allocations can be enforced through several mechanisms, including CPU capping or fabric-level congestion control. (iii) Sphinx, a fabric management solution that leverages Resource Exchange to orchestrate network and provide latency proportionality for consolidated workloads, based on user/application-specified policies. (iv) Implementation and experimental evaluation using InfiniBand clusters virtualized with the Xen or KVM hypervisor, managed via the OpenFloodlight SDN controller, and using representative data-intensive and latency-sensitive benchmarks.
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Hsieh, Cheng-Liang. "Design and Implementation of Scalable High-Performance Network Functions." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/dissertations/1416.

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Service Function Chaining (SFC) enriches the network functionalities to fulfill the increasing demand of value-added services. By leveraging SDN and NFV for SFC, it becomes possible to meet the demand fluctuation and construct a dynamic SFc. However, the integration of SDN with NFV requires packet header modifications, generates excessive network traffics, and induces additional I/O overheads for packet processing. These additional overheads result in a lower system performance, scalability, and agility. To improve the system performance, a co-optimized solution is proposed to implemented NF to achieve a better performance for software-based network functions. To improve the system scalability, a many-field packet classification is proposed to support a more complex ruleset. To improve the system agility, a network function-enabled switch is proposed to lower the network function content switching time. The experiment results show that the performance of a network function is improved by 8 times by leveraging GPU as a parallel computation platform. Moreover, the matching speed to steer network traffics with many-field ruleset is improved by 4 times with the proposed many-field packet classification algorithm. Finally, the proposed system is able to improve system bandwidth 5 times better compared the native solution and maintain the content switch time with the proposed SFC implementation using SDN and NFV.
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Ahmed, Kishwar. "Energy Demand Response for High-Performance Computing Systems." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3569.

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The growing computational demand of scientific applications has greatly motivated the development of large-scale high-performance computing (HPC) systems in the past decade. To accommodate the increasing demand of applications, HPC systems have been going through dramatic architectural changes (e.g., introduction of many-core and multi-core systems, rapid growth of complex interconnection network for efficient communication between thousands of nodes), as well as significant increase in size (e.g., modern supercomputers consist of hundreds of thousands of nodes). With such changes in architecture and size, the energy consumption by these systems has increased significantly. With the advent of exascale supercomputers in the next few years, power consumption of the HPC systems will surely increase; some systems may even consume hundreds of megawatts of electricity. Demand response programs are designed to help the energy service providers to stabilize the power system by reducing the energy consumption of participating systems during the time periods of high demand power usage or temporary shortage in power supply. This dissertation focuses on developing energy-efficient demand-response models and algorithms to enable HPC system's demand response participation. In the first part, we present interconnection network models for performance prediction of large-scale HPC applications. They are based on interconnected topologies widely used in HPC systems: dragonfly, torus, and fat-tree. Our interconnect models are fully integrated with an implementation of message-passing interface (MPI) that can mimic most of its functions with packet-level accuracy. Extensive experiments show that our integrated models provide good accuracy for predicting the network behavior, while at the same time allowing for good parallel scaling performance. In the second part, we present an energy-efficient demand-response model to reduce HPC systems' energy consumption during demand response periods. We propose HPC job scheduling and resource provisioning schemes to enable HPC system's emergency demand response participation. In the final part, we propose an economic demand-response model to allow both HPC operator and HPC users to jointly reduce HPC system's energy cost. Our proposed model allows the participation of HPC systems in economic demand-response programs through a contract-based rewarding scheme that can incentivize HPC users to participate in demand response.
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Books on the topic "High Performance Networking"

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Puigjaner, Ramon, ed. High Performance Networking. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34949-7.

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van As, Harmen R., ed. High Performance Networking. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35388-3.

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C, Pappas Frank, and Rensing Emil, eds. High-performance networking unleashed. Indianapolis, IN: Sams.net, 1997.

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Tantawy, Ahmed, ed. High Performance Networking VII. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-0-387-35279-4.

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Bubak, Marian, Hamideh Afsarmanesh, Bob Hertzberger, and Roy Williams, eds. High Performance Computing and Networking. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45492-6.

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Gentzsch, Wolfgang, and Uwe Harms, eds. High-Performance Computing and Networking. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57981-8.

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Hertzberger, Bob, Alfons Hoekstra, and Roy Williams, eds. High-Performance Computing and Networking. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-48228-8.

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Liddell, Heather, Adrian Colbrook, Bob Hertzberger, and Peter Sloot, eds. High-Performance Computing and Networking. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61142-8.

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Gentzsch, Wolfgang, and Uwe Harms, eds. High-Performance Computing and Networking. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0020340.

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Sloot, Peter, Marian Bubak, Alfons Hoekstra, and Bob Hertzberger, eds. High-Performance Computing and Networking. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/bfb0100559.

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Book chapters on the topic "High Performance Networking"

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Howard, Graham. "Integrated Services: IP Networking Applications." In High Performance Networking, 511–13. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35388-3_30.

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van As, Harmen R. "Erratum to: High Performance Networking." In High Performance Networking, E1. Boston, MA: Springer US, 2017. http://dx.doi.org/10.1007/978-0-387-35388-3_42.

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Bernabei, Francesco, Gianluca Chierchia, Laura Gratta, and Marco Listanti. "Design of an access control mechanism for the Available Bit Rate service in ATM networks." In High Performance Networking, 333–44. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34949-7_25.

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Vila-Sallent, Joan, and Josep Solé-Pareta. "Integrating Parallel Computing Applications in an ATM Scenario." In High Performance Networking, 235–52. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35388-3_14.

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Corte, Aurelio La, Alfio Lombardo, Sergio Palazzo, and Giovanni Schembra. "An End-to-End Mechanism for Jitter Control in Multimedia Services." In High Performance Networking, 3–14. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34949-7_1.

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Roppel, Carsten. "In-service monitoring techniques for cell transfer delay and cell delay variation in ATM networks." In High Performance Networking, 131–42. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34949-7_10.

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Kalampoukas, L., A. Varma, and K. K. Ramakrishnan. "An efficient rate allocation algorithm for ATM networks providing max-min fairness." In High Performance Networking, 143–54. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34949-7_11.

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Rose, Oliver, and Michael R. Frater. "Impact of MPEG Video Traffic on an ATM Multiplexer." In High Performance Networking, 157–68. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34949-7_12.

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Stokes, Olen L., and Arne A. Nilsson. "Development of a MPEG Data Stream Characterization for Use with ATM Networks." In High Performance Networking, 169–80. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34949-7_13.

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Maly, Kurt, C. M. Overstreet, Hussein Abdel-Wahab, A. K. Gupta, Muthu Kumar, and Rahul Srivastava. "Performance Trade-offs for a Multimedia Distributed Application." In High Performance Networking, 181–92. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34949-7_14.

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Conference papers on the topic "High Performance Networking"

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Pophale, Swaroop. "Session details: High Performance Networking." In HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3407670.

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Ros-Giralt, Jordi, Alan Commike, Dan Honey, and Richard Lethin. "High-performance many-core networking." In the Second Workshop. New York, New York, USA: ACM Press, 2015. http://dx.doi.org/10.1145/2830318.2830319.

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"Session 3: Networking." In Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004. IEEE, 2004. http://dx.doi.org/10.1109/hpdc.2004.1323491.

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Keizers, Andreas, Dietrich Meyer-Ebrecht, C. Schilling, and F. Vossebuerger. "High-performance networking architecture for PACS." In Berlin - DL tentative, edited by Rudy A. Mattheus, Andre J. Duerinckx, and Peter J. van Otterloo. SPIE, 1993. http://dx.doi.org/10.1117/12.160491.

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Benson, Thomas M. "A system-level optimization framework for high-performance networking." In 2014 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2014. http://dx.doi.org/10.1109/hpec.2014.7040983.

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Demar, Phillip J., David Dykstra, Gabriele Garzoglio, Parag Mhashilkar, Anupam Rajendran, and Wenji Wu. "Poster: Big Data Networking at Fermilab." In 2012 SC Companion: High Performance Computing, Networking, Storage and Analysis (SCC). IEEE, 2012. http://dx.doi.org/10.1109/sc.companion.2012.215.

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Poltavtseva, Maria A., Dmitry P. Zegzhda, and Evgeniy Y. Pavlenko. "High-performance NIDS Architecture for Enterprise Networking." In 2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). IEEE, 2019. http://dx.doi.org/10.1109/blackseacom.2019.8812808.

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Maeda, Chris, and Brian N. Bershad. "Protocol service decomposition for high-performance networking." In the fourteenth ACM symposium. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/168619.168639.

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Akarsu, E., G. C. Fox, W. Furmanski, and T. Haupt. "WebFlow - High-Level Programming Environment and Visual Authoring Toolkit for High Performance Distributed Computing." In SC98 - High Performance Networking and Computing Conference. IEEE, 1998. http://dx.doi.org/10.1109/sc.1998.10046.

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Werner, A., H. Echtle, and M. Wierse. "High Performance Simulation of Internal Combustion Engines." In SC98 - High Performance Networking and Computing Conference. IEEE, 1998. http://dx.doi.org/10.1109/sc.1998.10016.

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Reports on the topic "High Performance Networking"

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Holman, Brett Philip, Jesse Edward Martinez, and Susan Coulter. High Performance Networking Overview. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1525800.

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Maeda, Chris, and Brian N. Bershad. Protocol Service Decomposition for High-Performance Networking. Fort Belvoir, VA: Defense Technical Information Center, March 1993. http://dx.doi.org/10.21236/ada270613.

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Navarro, J. P. IBM SP high-performance networking with a GRF. Office of Scientific and Technical Information (OSTI), May 1999. http://dx.doi.org/10.2172/12064.

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Kenny, Joseph P., and Craig D. Ulmer. RoCE: Promising Technology for Ethernet as a High Performance Networking Fabric. Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1573446.

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Lyonnais, Marc, Gonzalo P. Rodrigo, and Julian Hammer. SCinet Architecture: Featured at the International Conference for High Performance Computing,Networking, Storage and Analysis 2017. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1411665.

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Beck, Micah, and Terry Moore. Final Project Report: DOE Award FG02-04ER25606 Overlay Transit Networking for Scalable, High Performance Data Communication across Heterogeneous Infrastructure. Office of Scientific and Technical Information (OSTI), August 2007. http://dx.doi.org/10.2172/929198.

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Pratt, T. J., L. G. Martinez, M. O. Vahle, T. V. Archuleta, and V. K. Williams. Sandia`s network for SC `97: Supporting visualization, distributed cluster computing, and production data networking with a wide area high performance parallel asynchronous transfer mode (ATM) network. Office of Scientific and Technical Information (OSTI), May 1998. http://dx.doi.org/10.2172/658446.

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African Open Science Platform Part 1: Landscape Study. Academy of Science of South Africa (ASSAf), 2019. http://dx.doi.org/10.17159/assaf.2019/0047.

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This report maps the African landscape of Open Science – with a focus on Open Data as a sub-set of Open Science. Data to inform the landscape study were collected through a variety of methods, including surveys, desk research, engagement with a community of practice, networking with stakeholders, participation in conferences, case study presentations, and workshops hosted. Although the majority of African countries (35 of 54) demonstrates commitment to science through its investment in research and development (R&D), academies of science, ministries of science and technology, policies, recognition of research, and participation in the Science Granting Councils Initiative (SGCI), the following countries demonstrate the highest commitment and political willingness to invest in science: Botswana, Ethiopia, Kenya, Senegal, South Africa, Tanzania, and Uganda. In addition to existing policies in Science, Technology and Innovation (STI), the following countries have made progress towards Open Data policies: Botswana, Kenya, Madagascar, Mauritius, South Africa and Uganda. Only two African countries (Kenya and South Africa) at this stage contribute 0.8% of its GDP (Gross Domestic Product) to R&D (Research and Development), which is the closest to the AU’s (African Union’s) suggested 1%. Countries such as Lesotho and Madagascar ranked as 0%, while the R&D expenditure for 24 African countries is unknown. In addition to this, science globally has become fully dependent on stable ICT (Information and Communication Technologies) infrastructure, which includes connectivity/bandwidth, high performance computing facilities and data services. This is especially applicable since countries globally are finding themselves in the midst of the 4th Industrial Revolution (4IR), which is not only “about” data, but which “is” data. According to an article1 by Alan Marcus (2015) (Senior Director, Head of Information Technology and Telecommunications Industries, World Economic Forum), “At its core, data represents a post-industrial opportunity. Its uses have unprecedented complexity, velocity and global reach. As digital communications become ubiquitous, data will rule in a world where nearly everyone and everything is connected in real time. That will require a highly reliable, secure and available infrastructure at its core, and innovation at the edge.” Every industry is affected as part of this revolution – also science. An important component of the digital transformation is “trust” – people must be able to trust that governments and all other industries (including the science sector), adequately handle and protect their data. This requires accountability on a global level, and digital industries must embrace the change and go for a higher standard of protection. “This will reassure consumers and citizens, benefitting the whole digital economy”, says Marcus. A stable and secure information and communication technologies (ICT) infrastructure – currently provided by the National Research and Education Networks (NRENs) – is key to advance collaboration in science. The AfricaConnect2 project (AfricaConnect (2012–2014) and AfricaConnect2 (2016–2018)) through establishing connectivity between National Research and Education Networks (NRENs), is planning to roll out AfricaConnect3 by the end of 2019. The concern however is that selected African governments (with the exception of a few countries such as South Africa, Mozambique, Ethiopia and others) have low awareness of the impact the Internet has today on all societal levels, how much ICT (and the 4th Industrial Revolution) have affected research, and the added value an NREN can bring to higher education and research in addressing the respective needs, which is far more complex than simply providing connectivity. Apart from more commitment and investment in R&D, African governments – to become and remain part of the 4th Industrial Revolution – have no option other than to acknowledge and commit to the role NRENs play in advancing science towards addressing the SDG (Sustainable Development Goals). For successful collaboration and direction, it is fundamental that policies within one country are aligned with one another. Alignment on continental level is crucial for the future Pan-African African Open Science Platform to be successful. Both the HIPSSA ((Harmonization of ICT Policies in Sub-Saharan Africa)3 project and WATRA (the West Africa Telecommunications Regulators Assembly)4, have made progress towards the regulation of the telecom sector, and in particular of bottlenecks which curb the development of competition among ISPs. A study under HIPSSA identified potential bottlenecks in access at an affordable price to the international capacity of submarine cables and suggested means and tools used by regulators to remedy them. Work on the recommended measures and making them operational continues in collaboration with WATRA. In addition to sufficient bandwidth and connectivity, high-performance computing facilities and services in support of data sharing are also required. The South African National Integrated Cyberinfrastructure System5 (NICIS) has made great progress in planning and setting up a cyberinfrastructure ecosystem in support of collaborative science and data sharing. The regional Southern African Development Community6 (SADC) Cyber-infrastructure Framework provides a valuable roadmap towards high-speed Internet, developing human capacity and skills in ICT technologies, high- performance computing and more. The following countries have been identified as having high-performance computing facilities, some as a result of the Square Kilometre Array7 (SKA) partnership: Botswana, Ghana, Kenya, Madagascar, Mozambique, Mauritius, Namibia, South Africa, Tunisia, and Zambia. More and more NRENs – especially the Level 6 NRENs 8 (Algeria, Egypt, Kenya, South Africa, and recently Zambia) – are exploring offering additional services; also in support of data sharing and transfer. The following NRENs already allow for running data-intensive applications and sharing of high-end computing assets, bio-modelling and computation on high-performance/ supercomputers: KENET (Kenya), TENET (South Africa), RENU (Uganda), ZAMREN (Zambia), EUN (Egypt) and ARN (Algeria). Fifteen higher education training institutions from eight African countries (Botswana, Benin, Kenya, Nigeria, Rwanda, South Africa, Sudan, and Tanzania) have been identified as offering formal courses on data science. In addition to formal degrees, a number of international short courses have been developed and free international online courses are also available as an option to build capacity and integrate as part of curricula. The small number of higher education or research intensive institutions offering data science is however insufficient, and there is a desperate need for more training in data science. The CODATA-RDA Schools of Research Data Science aim at addressing the continental need for foundational data skills across all disciplines, along with training conducted by The Carpentries 9 programme (specifically Data Carpentry 10 ). Thus far, CODATA-RDA schools in collaboration with AOSP, integrating content from Data Carpentry, were presented in Rwanda (in 2018), and during17-29 June 2019, in Ethiopia. Awareness regarding Open Science (including Open Data) is evident through the 12 Open Science-related Open Access/Open Data/Open Science declarations and agreements endorsed or signed by African governments; 200 Open Access journals from Africa registered on the Directory of Open Access Journals (DOAJ); 174 Open Access institutional research repositories registered on openDOAR (Directory of Open Access Repositories); 33 Open Access/Open Science policies registered on ROARMAP (Registry of Open Access Repository Mandates and Policies); 24 data repositories registered with the Registry of Data Repositories (re3data.org) (although the pilot project identified 66 research data repositories); and one data repository assigned the CoreTrustSeal. Although this is a start, far more needs to be done to align African data curation and research practices with global standards. Funding to conduct research remains a challenge. African researchers mostly fund their own research, and there are little incentives for them to make their research and accompanying data sets openly accessible. Funding and peer recognition, along with an enabling research environment conducive for research, are regarded as major incentives. The landscape report concludes with a number of concerns towards sharing research data openly, as well as challenges in terms of Open Data policy, ICT infrastructure supportive of data sharing, capacity building, lack of skills, and the need for incentives. Although great progress has been made in terms of Open Science and Open Data practices, more awareness needs to be created and further advocacy efforts are required for buy-in from African governments. A federated African Open Science Platform (AOSP) will not only encourage more collaboration among researchers in addressing the SDGs, but it will also benefit the many stakeholders identified as part of the pilot phase. The time is now, for governments in Africa, to acknowledge the important role of science in general, but specifically Open Science and Open Data, through developing and aligning the relevant policies, investing in an ICT infrastructure conducive for data sharing through committing funding to making NRENs financially sustainable, incentivising open research practices by scientists, and creating opportunities for more scientists and stakeholders across all disciplines to be trained in data management.
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