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Internet of Things [clear filter]
Monday, October 26

12:00 GMT

Learning the Basics of Apache NiFi for IoT - Timothy J Spann, Cloudera
I will teach the basics of using Apache NiFi to process data commonly acquired from IoT including MQTT, REST, Kafka, Syslog, tailing files, python output, sFTP, files and more. We will walk through some best practices for building flows for solving IoT ingest issues for sensor data and other edge data sources. See: https://dzone.com/articles/lets-build-a-simple-ingest-to-cloud-data-warehouse https://dev.to/tspannhw/edgeai-google-coral-with-coral-environmental-sensors-and-tpu-with-nifi-and-minifi-updated-efm-oh9


avatar for Timothy J Spann

Timothy J Spann

Principal DataFlow Field Engineer, Cloudera
Tim Spann is a Principal DataFlow Field Engineer at Cloudera, the Big Data Zone leader and blogger at DZone and an experienced data engineer with 15 years of experience. He runs the Future of Data Princeton meetup as well as other events. He has spoken at Philly Open Source, ApacheCon... Read More →

Monday October 26, 2020 12:00 - 12:50 GMT
IoT Theater
  Internet of Things, Edge Computing Considerations

18:30 GMT

Mix Edge and Electric Vehicles to Get a Shot at Sustainability - Diana Atanasova & Tsvetomir Stoyanov, VMware
Electric Grid Modernization involves comprehending renewable sources of energy, storage systems, actively monitoring power use, anticipating demand, and possibly shifting demand to smooth usage peaks. The last particularly helps to decarbonize the grid through avoiding the need to bring online dirty sources of energy to meet demand peaks. Electric Vehicle charging lends itself well to demand shifting. Perhaps you are at home and can delay charging for several hours or at work with enough charge to get back home, or just opportunisticly charging while shopping. Our solution leverages the open source project EdgeX Foundry to monitor and control one or more ChargePoint (CP) Charge stations. We invite you to explore our open source project Kinney, which provides Go and Python clients for CP's SOAP API and both a replay and full simulator (Covid-19 lockdown accelerated) We share alternative curtailment algorithms that take into consideration location, time of day, amount of vehicle charge, and charging patterns. Towards grid modernization the capturing contextual importance of various loads will help developing trade-off algorithms. Learn, experiment, drive sustainability!

avatar for Tsvetomir Stoyanov

Tsvetomir Stoyanov

Open Source Engineer, VMware
Tzvetomir Stoyanov is a software engineer in the Open Source Technology Center, VMware/Bulgaria. He works on the Linux kernel ftrace infrastructure and the ecosystem around it - user space programs tace-cmd and KernelShark. Before joining VMware, he worked for Telco Systems, a US... Read More →

Diana Atanasova

Sr. Software Engineer, VMware
Diana Atanasova is a senior engineer with the Open Source Technology Center, VMware/Bulgaria. She works on EdgeX Foundry, an open source Edge IoT Project and has been redesigning several of its microservices to improve scalability and ease maintaining consistency. She leads the edgex-cli... Read More →

Monday October 26, 2020 18:30 - 19:20 GMT
IoT Theater
  Internet of Things, Edge Computing Considerations
Tuesday, October 27

12:00 GMT

ACRN Security: A Journey into Fuzzing and Hardening Edge Hypervisors - Mostafa Elsaid & Steffen Schulz, Intel
With the rise of data-centric IoT and Edge Compute, hypervisors have become a key component for real-time assurance, workload consolidation, and management. Unlike traditional cloud infrastructure, hypervisors at the Edge face an extended threat model with a broader set of threats and requirements (e.g. determinism, data privacy, etc..). As a result, ensuring the security and functional correctness of critical elements in the Trusted Computing Base (TCB) is crucial for the overall edge node security and dependability. Dynamic security validation methods like "Fuzzing" have been highly successful in uncovering novel bugs with runtime impact. However, as of now, there are no effective tools for covering the complex and diverse nature of components in the modern virtualization software stack. In this presentation, we discuss state-of-art fuzzing approaches that fit into the virtualized edge ecosystem. In addition, we share a set of Best Known Methods (BKMs) and techniques to execute a comprehensive fuzzing campaign for components scattered across different software layers; starting from the hypervisor, kernel service modules, and up to the Device Model (DM) in userspace.

avatar for Mostafa Elsaid

Mostafa Elsaid

Security Engineer, Intel
Mostafa Elsaid is a Security Engineer/Researcher at Intel Internet of Things Group (IOTG). His main interests are offensive system security and product's security architecture. Currently, he is a core contributor to the penetration testing and fuzzing activities for the ACRN opensource... Read More →

Steffen Schulz

Security Researcher, Intel
Steffen Schulz is a security researcher at Intel Labs Security and Privacy Research (SPR). His main interest is in foundational platform security and resilience features for emerging devices, such as IoT and accelerators. As part of the Intel Collaborative Research Institute for Collaborative... Read More →

Tuesday October 27, 2020 12:00 - 12:50 GMT
IoT Theater
  Internet of Things, Edge Computing Considerations

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