Research Talks at HPIHPI Team, Guests

This video belongs to the openHPI course Research Talks at HPI. Do you want to see more?

Data Protection in Resource-Constrained Computing Systems

Time effort: approx. 32 minutes

An error occurred while loading the video player, or it takes a long time to initialize. You can try clearing your browser cache. Please try again later and contact the helpdesk if the problem persists.

About this video


Resource-constrained computing is a variant of distributed computing, in which computations are conducted using low-powered, low-processing, and memory-limited components. Systems based on this concept are well suited to scenarios where access to standard technology is impeded by infrastructural and economic factors, e.g. in health information systems, and in cyber-physical-systems such as smart microgrids. The focus of Dr. Anne Kayem's talk is on data protection in resource constrained computing systems in which resources are user-contributed. To demonstrate feasibility, Dr. Anne Kayem describes results from prototype implementations. She gave this talk as part of the HPI Colloquium on May 17, 2018.