Edge-enabled Distributed Network Measurement

Publications
Abstract: In the area of network monitoring and measurement a number of good tools are already available. However, most mature tools do not account for changes in network management brought about through Software Defined Networking (SDN). New tools developed to address the SDN paradigm often lack both observation scope and performance scale to support distributed management of accelerated measurement devices, high-throughput network processing, and distributed network function monitoring. In this paper we present an approach to distributed network monitoring and management using an agent-based edge computing framework. In addition, we provide a number of real-world examples where this system has been put into practice. Published in: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Date of Conference: 19-23 March 2018 Date Added to IEEE Xplore: 08…
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An Edge-Focused Model for Distributed Streaming Data Applications

Publications
Abstract: This paper presents techniques for the description and management of distributed streaming data applications. The proposed solution provides an abstract description language and operational graph model for supporting collections of autonomous components functioning as distributed systems. Using our approach, applications supporting millions of devices can be easily modeled using abstract configurations. Through our models applications can implemented and managed through socalled server-less application orchestration. Published in: 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) Date of Conference: 19-23 March 2018 Date Added to IEEE Xplore: 08 October 2018 ISBN Information: Electronic ISBN: 978-1-5386-3227-7 USB ISBN: 978-1-5386-3226-0 Print on Demand(PoD) ISBN: 978-1-5386-3228-4 INSPEC Accession Number: 18133966 DOI: 10.1109/PERCOMW.2018.8480196 Publisher: IEEE Conference Location: Athens, Greece Citation: Bumgardner, VK Cody, Caylin Hickey, and Victor W. Marek. "An Edge-Focused…
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IRNC: AMI: Collaborative Research: Software-Defined and Privacy-Preserving Network Measurement Instrument and Services for Understanding Data-Driven Science Discovery

Grants
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

Grants
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

Grants
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)

Grants
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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