Vasia Kalavri receives the NSF CAREER Award
PI Vasia Kalavri has received an NSF CAREER award for her project “CAREER: Adaptive resource management and reconfiguration mechanisms for streaming dataflow systems“. .
Category: Award
Talia Chen is a finalist of the SIGOPS SRC at SOSP’24
Talia Chen participated in the Student Research Competition of SOSP’24, undergraduate category, with a poster of her work, “Scaling GNN Sampling on Large-Scale Graphs with io_uring”. Talia made it to the final round, where she gave a short presentation in front of the judges and SOSP attendees. Congratulations, Talia!
Best Short Paper Award at DaMoN’24
Our paper “In situ neighborhood sampling for large-scale GNN training” received the best short paper award at DaMoN’24. Congratulations to all authors!
Vasia Kalavri recognized as a Confluent Community Catalyst
Vasia Kalavri was nominated and accepted to become a Confluent Community Catalyst for the class of 23-24.
New research award from NSF
PI Vasia Kalavri has received an NSF award to support her project “Scaling Graph Machine Learning Workloads on Modern Storage” for the next 3 years.
Vasia Kalavri is a co-recipient of the ACM SIGMOD’23 Systems Award
The SIGMOD Systems Award is awarded to an individual or set of individuals to recognize the development of a software or hardware system whose technical contributions have had significant impact on the theory or practice of large-scale data management systems. This year the award recognizes Apache Flink, which greatly expanded the use of stream data-processing. […]
CASP receives Red Hat Collaboratory Research Incubation Awards
We are grateful to the BU Red Hat Collaboratory for the following 2023 Research Incubation Awards: 1. Towards high performance and energy efficiency in open-source stream processing (PIs: Vasiliki Kalavri, Jonathan Appavoo) 2. Serverless Streaming Graph Analytics (PI: Vasiliki Kalavri) Read the full announcement here.
New research awards from NSF and Bosch
CASP lab receives two new research awards: A gift from Bosch GmbH to support our research on privacy-preserving data processing systems. A SaTC Core Medium award from NSF (#2209194). The award will support our research on secure outsourced analytics in untrusted clouds for the next 4 years. We are grateful for the support!
Shengyao Luo joins CASP Systems with Summer’22 UROP award
Shengyao (Jax) Luo is joining the CASP Systems lab this summer, after being awarded a UROP grant. Jax’s project, “Monitoring and improving energy consumption in stream data processing”, aims to curate and publish a unique data set of fine-grained time-series energy and performance data for streaming workloads.
CASP receives three Research Incubation Awards from the Red Hat Collaboratory
Our research lab has received three Research Incubation Awards from the BU Red Hat Collaboratory: 1. Towards high performance and energy efficiency in open-source stream processing (PIs: Vasiliki Kalavri, Jonathan Appavoo) 2. Serverless Streaming Graph Analytics (PI: Vasiliki Kalavri) 3. Secure cross-site analytics on OpenShift logs (PI: John Liagouris) Read the full announcement here.