Programming distributed sensors, with energy use in mind.
Wireless sensor networks
Queries become graphs of operators. The system decides how to distribute that work across battery-powered sensor nodes.
Explore this researchRESEARCH
Making sense of data in motion.
Doctoral work exploring the languages, placement decisions, and timing models behind distributed stream processing.
A stream is a way to think.
Data arrives continuously: a sensor reading, a measurement, a system event. Stream programming describes how that data is transformed through connected operations.
Vasvi’s doctoral research investigated how this model can support distributed applications, from energy-constrained sensor nodes to cloud-hosted clusters. Curracurrong is the research system at the centre of that work.
Continuous computation across cloud-hosted resources.
Cloud stream processing
Moving from stored batches to processing events as they arrive, with a stream model for cloud execution.
Explore this researchUnderstanding when a stream query produces its result.
End-to-end delay analysis
Modelling the time taken for data to travel through a sequence of stream-processing operations.
Explore this researchTHE DOCTORAL THESIS
Curracurrong: a stream processing system for distributed environments
Vasvi Kakkad · University of Sydney · 2015
Thesis details