News
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... More
CASPLab at NSDI’23
This week, at the USENIX NSDI'23 conference in Boston, we presented SECRECY and released the code as open source. Check it out! We also presented work-in-progress projects during the poster session.
CASPLab members present posters at NEDB Day 2023
CASPLab students and faculty participated in the North East Database Day 2023 conference with three posters: 1. Emmanouil Kritharakis, Po Hao Chen, Yuchen Lu,Vasiliki Kalavri. "Scaling GNN training to billion-edge graphs on a single machine" 2. Muhammad Faisal, Vasiliki Kalavri, John Liagouris, Mayank Varia. "Towards a scalable generic MPC framework with configurable guarantees" 3.Yuanli... More
Autoscaling research makes its way into Apache Flink
The latest Apache Flink Kubernetes Operator release includes an autoscaler component based on the OSDI'18 paper "Three steps is all you need: fast, accurate, automatic scaling decisions for distributed streaming dataflows" co-authored by Vasiliki Kalavri and John Liagouris. We are glad to see our research impact and very grateful to... More
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.
Multiple open positions for PhD students and postdocs
The CASP Systems lab has multiple open positions for PhD students and postdocs. We invite applications from strong candidates who are interested in scalable data stream processing, systems for large-scale graph analysis and machine learning, and systems for privacy-preserving data analytics. To apply for a PhD position, submit your materials by... More
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... More
“Secrecy: Secure collaborative analytics in untrusted clouds” accepted at NSDI’23
Our paper, "Secrecy: Secure collaborative analytics in untrusted clouds", by John Liagouris, Vasiliki Kalavri, Muhammad Faisal, and Mayank Varia, has been accepted for presentation at NSDI'23! Secrecy is a system for privacy-preserving collaborative analytics as a service. Secrecy allows multiple data holders to contribute their data towards a joint analysis in... More
Papers accepted at DEEM and aiDM SIGMOD’22 workshops
The following papers were accepted for presentation at upcoming SIGMOD'22 workshops: Evaluating Model Serving Strategies over Streaming Data by Sonia Horchidan, Emmanouil Kritharakis, Vasiliki Kalavri and Paris Carbone was accepted at the 6th Workshop on Data Management for End-to-End Machine Learning (DEEM'22). GCNSplit: Bounding the State of Streaming Graph Partitioning by Michał... More
Paper accepted at BiDEDE’22 (co-located with SIGMOD’22)
The paper “The Non-Expert Tax: Quantifying the cost of auto-scaling in Cloud-based data stream analytics.” by Yuanli Wang, Baiqing Lyu, and Vasiliki Kalavri, has been accepted for presentation at the BiDEDE’22 workshop.