PI Mayank Varia and co-PIs Vasiliki Kalavri and John Liagouris received 3-year, $1.2M award from the NSF Cybersecurity Innovation for Cyberinfrastructure (CICI) program! The project focuses on developing an open-source software platform to enable the deployment of privacy-preserving scientific workflows across both open and commercial cloud infrastructures. To achieve this, the team is building the […]
We have received an i-Scale award for the project Streaming GNN Inference for Real-time Anomaly Detection on Microservice Graphs. The project will explore leveraging Graph Neural Networks to enhance security monitoring for cloud-native microservice environments. Many thanks to the i-Scale Industry Advisory Board!
John Liagouris received an Amazon Research Award for his proposal “Pushing secure MPC beyond niche applications”. Learn more about the program on the AmazonScience website.
PI Vasia Kalavri has received an NSF CAREER award for her project “CAREER: Adaptive resource management and reconfiguration mechanisms for streaming dataflow systems”. .
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.
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.
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 (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.
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.
We are delighted to announce two recent industry gifts CASP Lab received: A 2021 Data Acquisition, Processing and Analysis (DAPA) Award by Google to continue our work on self-managed stream processing systems, understanding the characteristics of streaming state access workloads, and designing workload-aware streaming state stores. A Samsung Memory Solutions Lab award to support our […]