The Taub Faculty of Computer Science Events and Talks

Cassandra is a highly popular distributed data store. It supports flexible consistency semantics over a wide-column data access model. In our work, we propose protocols for hardening Cassandra against Byzantine failures, in which some nodes in the system may act arbitrarily, including in a malicious manner. We examine several alternative design choices and compare between them both qualitatively and empirically by using the Yahoo! Cloud Serving Benchmark (YCSB) performance benchmark. We report on our findings and insights and draw some conclusions for future work.