Yearly Archives: 2017

Update – The Liebre Stream Processing Engine

The Liebre SPE has been updated. Aside some code optimizations and minor bugs fixing, there are now 2 new operators: FlatMap and Router. Furthermore, back-pressure is now implemented for all sources, operators and sinks. You can find the updated documentation

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Accepted paper, ACM Transactions on Parallel Computing: Efficient data streaming multiway aggregation through concurrent algorithmic designs and new abstract data types

I am glad to share that our paper Efficient data streaming multiway aggregation through concurrent algorithmic designs and new abstract data types has been accepted at the ACM Transactions on Parallel Computing (TOPC) journal!!! Abstract: Data streaming relies on continuous queries to

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The Liebre Stream Processing Engine

The LIEBRE Stream Processing Engine Since I started by Ph.D. back in 2008, I spent a considerable amount of time digging into the internals of stream processing engines. Pioneer engines like Aurora and Borealis were not really easy to work

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Posted in Data Streaming, programming, Research