IRNC: AMI: Collaborative Research: Software-Defined and Privacy-Preserving Network Measurement Instrument and Services for Understanding Data-Driven Science Discovery

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ABSTRACT Data intensive science discovery at a global scale has imposed new requirements on the speed and management of international research and education networks. At the connection points of these international networks, it is critical to measure the network data flows to understand network traffic patterns, identify network anomalies and provide insights to network control and planning. However, the ever-increasing network speed, the massive amount of network flows and the changing measurement objectives have made the flow-level measurement on very high-speed networks extremely challenging. The Advanced Measurement Instrument and Services (AMIS) project leverages many-core, programmable network processors to prototype and deploy an advanced measurement instrument to enable services for accurate network monitoring and in-depth traffic analysis. The instrument supports flow-granularity measurement at line rate up to 100Gbps and software application…
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CC*DNI Networking Infrastructure: An Software Defined Networking-Enabled Research Infrastructure

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ABSTRACT For a growing number of data-intensive research projects spanning a wide range of disciplines, high-speed network access to computation and storage -- located either locally in the campus or in the cloud (e.g., at national labs) -- has become critical to the research. While old, slow, campus network infrastructure is a key contributor to poor performance, an equally important contributor is the problem of bottlenecks that arise at security and network management policy enforcement points in the network. This project aims to dramatically improve network performance for a wide range of researchers across the campus by removing many of the bottlenecks inherent in the traditional network infrastructure. By replacing the existing network with modern software defined network (SDN) infrastructure, researchers will benefit from both the increased speed of the…
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CICI: Secure and Resilient Architecture: NetSecOps — Policy-Driven, Knowledge-Centric, Holistic Network Security Operations Architecture

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ABSTRACT Network infrastructure at University campuses is complex and sophisticated, often supporting a mix of enterprise, academic, student, research, and healthcare data, each having its own distinct security, privacy, and priority policies. Securing this complex and highly dynamic environment is extremely challenging, particularly since campus infrastructures are increasingly under attack from malicious actors on the Internet and (often unknowingly) internal campus devices. Different parts of the campus have very different policies and regulations that govern its treatment of sensitive data (e.g., private student/employee information, health care data, financial transactions, etc.). Furthermore, data-intensive scientific research traffic often requires exceptions to normal security policies, resulting in ad-hoc solutions that bypass standard operational procedures and leave both the scientific workflow and the campus as a whole vulnerable to attack. In short, state-of-the-art campus…
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MRI: Acquisition of the Kentucky Research Informatics Cloud (KyRIC)

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ABSTRACT This project will create a big data cloud infrastructure, the Kentucky Research Informatics Cloud (KyRIC), to accelerate data-driven discovery and computational research education across multiple disciplines. Scientific discovery today is being enabled through computational and data intensive research that exploits enormous amounts of available data. KyRIC will advance a number of exciting research programs across many disciplines, such as Bioinformatics and System Biology Algorithms, Large Graph and Evolutionary Network Analysis, Image Processing, and Computational Modeling and Simulation. Breakthroughs in KyRIC-enabled research will have important societal benefits in a number of areas, such as increasing agricultural yields, improving economic competitiveness, and creating new products and markets. KyRIC will use a hybrid architecture to support massively parallel applications that will address exciting and challenging new data and memory intensive research in…
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CC-NIE Integration: Advancing Science Through Next Generation SDN Networks

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This University of Kentucky CC-NIE Integration project is focused on the ever-growing demands for improved cyber infrastructure to support data-intensive scientific research. This project, a partnership led by UK Information Technology using technology and services from UK Computer Science, the Laboratory for Advanced Networking, and the UK Center for Computational Sciences, provides software-defined network (SDN) infrastructure and control to UK researchers and affiliates. The project not only upgrades network components, it also provides a programmable network infrastructure tailored to the needs of researchers. Separation of UK research traffic from administrative and academic traffic enables research traffic to avoid the institutional policy constraints currently placed on all traffic. The resulting SDN network will have a lasting impact on research projects spanning a wide range of areas including astrophysics, bio-medical, computer vision,…
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GENI : Network Monitoring

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ABSTRACT (SUBCONTRACT FOR MONITORING) The major objective of GENI (Global Environment for Network Innovation), a virtual laboratory for exploring future internets at scale, is to create major new opportunities to understand, innovate and transform global networks and their interactions with society. Dynamic and adaptive, GENI opens up new areas of research at the frontiers of network science and engineering, and increases the opportunity for significant socio-economic impact. GENI will employ a flexible and adaptable framework that incorporates spiral development, i.e., iterative prototyping, and federation, i.e., connecting heterogeneous networks, substrates and technologies. It is expected that each turn of the spiral will take advantage of what currently exists, what has been learned from the previous spiral, what can fruitfully be federated and what might be achieved through new development and prototyping…
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