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- Learned Parallel Stream Processing using Zero-Shot Cost Models
Motivation In Distributed Stream Processing Systems (DSPS), queries are usually long-running. They typically deal with a very high workload of million or even billion of events per second. Under such scenarios, parallelism plays an important role in providing scalability for... Open Theses
Tutor: Agnihotri - Accelerating Big Data Analytics using Heterogeneous Resources
Motivation: Internet of Things describes a new world of heterogeneous objects such as sensors, smartphones, actuators etc, which intelligently interacts and communicate with each other and offer a better quality of life. With the increase of these objects, the data volume is... Open Theses
Tutor: Agnihotri
