![University of California Video Podcasts (Video) artwork](https://is3-ssl.mzstatic.com/image/thumb/Podcasts113/v4/ca/45/ad/ca45ad04-23e3-55e6-ee18-c5042d476021/mza_3964431605614593038.jpg/100x100bb.jpg)
Energy Efficient Software Development for the Internet of Things (IoT)
University of California Video Podcasts (Video)
English - October 16, 2019 21:00 - 26 minutes - 299 MB Video - ★★★★ - 7 ratingsEducation Science Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Increasingly, Internet-of-Things (IoT) applications require energy efficiency, low-latency, privacy and security of code and data, and programming support that simplifies IoT software development and deployment. UCSB Professor of Computer Science Chandra Krintz presents a new distributed software platform and programming model that addresses these requirements for the next generation of IoT applications. Her research lab (the UCSB RACELab) develops novel approaches to code portability for heterogenous devices and IoT tiers, energy efficiency for resource-constrained execution, privacy and security control, and integration of IoT services (e.g. data analytics, machine learning, artificial intelligence, etc.), and automated, multi-tier application deployment and management at scale — which together enable write-once, run-anywhere software development for IoT. Series: "Institute for Energy Efficiency" [Show ID: 35162]