Borealis is a distributed stream processing engine that has been developed at Brandeis University, Brown University, and MIT. It extends the first generation of ...

It extends the first generation of data stream processing systems with advanced capabilities such as distributed operation, scalability with time-varying load, ...

Nov 21, 2024 · Borealis is a distributed stream processing engine that has been developed at Brandeis University, Brown University, and MIT.

Borealis is a distributed stream processing engine that has been developed at Brandeis University, Brown University, and MIT. It extends the first generation of ...

We demon- strate how Medusa handles time-varying load spikes and provides high availability in the face of network partitions. We demonstrate. Medusa in the ...

We demonstrate how Medusa handles time-varying load spikes and provides high availability in the face of network partitions. We demonstrate Medusa in the ...

The demonstration will illustrate the dynamic resource management, query optimization and high availability mechanisms employed by Borealis, using visual ...

This two-phase approach provides a low- overhead mechanism for shedding load at run time, when the system is most in need of CPU cycles for running the queries.

– High availability. • Tolerance to node + network failures. – Dynamic ... Correlation-Based Load Management. Optimization Goal. ➢ Minimize average end ...

This work demonstrates how Medusa handles time-varying load spikes and provides high availability in the face of network partitions in the context of ...