Aurojit Panda, PhD Student at UC Berkeley

Aurojit Panda

PhD Student, UC Berkeley

Aurojit Panda is a fifth year PhD student in Computer Science, advised by Scott Shenker. He works in the NetSys Lab and is also affiliated with the AMPLab. His research looks at how to provide resilience guarantees for practical distributed systems both by statically verifying properties and using lightweight runtime mechanisms to enforce properties. Previously, from 2008-2011, he was at Microsoft, working on the kernel for a systems incubation project. Before that he received a ScB in mathematics and computer science from Brown University in 2008.


Low Latency Execution For Apache Spark

Several Spark applications, e.g., stream processing and machine learning, require low latency execution. Currently, Spark uses a BSP computation model, and notifies the scheduler at the end of each task. Invoking the scheduler at the… Read more