Li B, Xu W, Kapitza R (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 158-163
Conference Proceedings Title: Proceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2018
Event location: Luxembourg City, LUX
ISBN: 9781538655955
Recent research works have shown that applying parallelization to request processing in Byzantine Fault Tolerance (BFT) can bring significant performance improvement. Based on partitioned service state, parallelism is introduced to both agreement and execution to address performance and scalability limitations caused by the global total order of all requests. However, in case of inefficient state partitioning, expensive synchronization among partitions is expected, which leads to a considerable performance loss. To improve the efficiency of parallel processing, we present Dynamic State Partitioning (DYPART), a framework that maps service state into multiple partitions and periodically reconfigures the partitions for different usage patterns. DYPART relies on the knowledge about relations between the state objects for partitioning, which is obtained by collecting request dependencies. It utilizes a high-performance graph partitioning algorithm to ensure that the resulting state partitions can achieve both workload balance and low synchronization among partitions. Our evaluation of a key-value store shows that compared to a random partitioning, DYPART can improve the performance by at least 40%.
APA:
Li, B., Xu, W., & Kapitza, R. (2018). Dynamic State Partitioning in Parallelized Byzantine Fault Tolerance. In Proceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2018 (pp. 158-163). Luxembourg City, LUX: Institute of Electrical and Electronics Engineers Inc..
MLA:
Li, Bijun, Wenbo Xu, and Rüdiger Kapitza. "Dynamic State Partitioning in Parallelized Byzantine Fault Tolerance." Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2018, Luxembourg City, LUX Institute of Electrical and Electronics Engineers Inc., 2018. 158-163.
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