When implementing research protocols there is often a disconnect between what the researcher wants, and what the developer thinks they want. This can result in wasted effort and protracted development times. With a graphical representation of the protocol the discussion between developers and researchers can find these disconnects earlier in…
Running Simulations on the Cloud for Reinforcement Learning
For patients visiting a large hospital system for the first time it can be overwhelming to figure out where you need to go, or to even find someone who can point you in the right direction. Employees in the hospital have similar struggles when moving samples from one building to…
Edge-enabled Distributed Network Measurement
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…
An Edge-Focused Model for Distributed Streaming Data Applications
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…
100G Ethernet Testing
100G Ethernet testing for new cluster. More to come...
AVS Smart City Prototype
AVS Prototype using a Raspberry Pi and the Conexant 2-Mic Development Kit Starting work on our Smart City AVS prototype! Stay tuned...
IRNC: AMI: Collaborative Research: Software-Defined and Privacy-Preserving Network Measurement Instrument and Services for Understanding Data-Driven Science Discovery
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…
CC*DNI Networking Infrastructure: An Software Defined Networking-Enabled Research Infrastructure
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…
CICI: Secure and Resilient Architecture: NetSecOps — Policy-Driven, Knowledge-Centric, Holistic Network Security Operations Architecture
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…
MRI: Acquisition of the Kentucky Research Informatics Cloud (KyRIC)
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…