Lock Violation for Fault-tolerant Distributed Database System


연구 분야: Databases



학회: 2021 IEEE 37th International Conference on Data Engineering (ICDE)


초록

Modern distributed database systems scale horizontally by partitioning their data across a large number of nodes. Most such systems build their transactional layers on a replication layer, employing a consensus protocol to ensure data consistency to achieve fault tolerance. Synchronization among replicated state machines thus becomes a significant overhead of transaction processing. Without careful design, synchronization could amplify transactions’ lock duration and impair the system’s scalability. Speculative techniques, such as Controlled Lock Violation (CLV) and Early Lock Release (ELR), prove useful in shortening lock’s critical path and boosting transaction processing performance. To use these techniques to optimize geo-replicated distributed databases(GDDB) is an intuitive idea. This paper shows that a naive application of speculation is often unhelpful in a distributed environment. Instead, we introduce Distributed Lock Violation (DLV), a specialized speculative technique for geo-replicated distributed databases. DLV can achieve good performance without incurring severe side effects.


Author Profile
Hua Guo

School of Information Renmin University of China Beijing China

China
Author Profile
Xuan Zhou

Shanghai Engineering Research Center of Big Data Management East China Normal University Shanghai China

China
Author Profile
Le Cai

Alibaba Group San Mateo CA US

Canada

📄 논문 정보

발행 연도 2021년
인용수 5
출판 국가 China, Canada
사이트 IEEE
좋아요 수 0

연관 논문 목록 (256건)