Red Hat Research Days Events 2021A monthly series of virtual conversations between researchers and Red Hat experts
22 April | A Plan for Practical Programming of FPGAs in the Data Center | Martin Herbordt & Robert Munafo, Boston University; Ahmed Sanaullah, Red Hat | REGISTER NOW
Connect with researchers and Red Hat experts to discuss research innovations in open source. Monthly research events include live video discussions where all attendees can join the conversations.
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Mining Issued Common Criteria and FIPS 140-2 Certificates | March 24
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Security certification reports might be long, but they are also a trove of publicly available data about proprietary devices and other products otherwise available only under NDAs. While downloading and reading a single certificate is easy, reasoning about the characteristics of the whole ecosystem, which covers more than ten thousand certified devices based on human-written documents, is different. Are there observable systematic differences between the Common Criteria and FIPS 140-2 certificates? Can I quickly find out if my device is using a certified component recently found vulnerable? Most importantly, can we measure and quantify whether the whole process is actually increasing the security of the products being certificated? This talk address these questions using an open source tool for automatic analysis of publicly available certification reports, accompanied by catchy graphs.
The Future of Big Data: Massive Real-Time Data Streams | March 2
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As we enter the era of Big Data, a large number of data-driven systems and applications have become an integral part of our daily lives, and this trend is accelerating dramatically. It is estimated that 1.7MB of data is created every second for every person on Earth, for a total of over 2.5 quintillion bytes of new data every day, reaching 163 zettabytes by 2025. In addition to the growing volume, velocity, and variety of continuously generated data, novel technological trends such as edge processing, IoT, 5G, and federated AI bring new requirements for faster processing and deeper, more computationally heavy data analysis. Therefore, we can no longer rely on the “old school” data processing mechanisms, and a new paradigm is needed.
In this talk, we explore this new paradigm, which we call Big Data Stream Processing (BDSP). BDSP comprises a variety of methods for scalable and efficient data processing that do not rely on traditional databases for storing and processing the data. We cover examples of real-life applications that can greatly benefit from incorporating BDSP capabilities.
In particular, we cover:
– On-the-fly detection of complex patterns in streaming data
– Stream-oriented machine learning and data mining
Research Days events highlight Red Hat’s research initiatives. We bring together international researchers, Red Hat engineers, industry representatives, customers, partners, and others to share knowledge about the latest research findings, network with research enthusiasts from around the world and learn about moving great research ideas into open source communities.