Implementing recoverable requests using queues
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
ACM Transactions on Database Systems (TODS)
Efficient transparent application recovery in client-server information systems
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
A survey of rollback-recovery protocols in message-passing systems
ACM Computing Surveys (CSUR)
State Synchronization and Recovery for Strongly Consistent Replicated CORBA Objects
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
Enforcing Determinism for the Consistent Replication of Multithreaded CORBA Applications
SRDS '99 Proceedings of the 18th IEEE Symposium on Reliable Distributed Systems
Optimistic Recovery in Multi-Threaded Distributed Systems
SRDS '99 Proceedings of the 18th IEEE Symposium on Reliable Distributed Systems
How to recover efficiently and asynchronously when optimism fails
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Recovery Guarantees for General Multi-Tier Applications
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Record/replay for nondeterministic program executions
Communications of the ACM - Why CS students need math
Improving Logging and Recovery Performance in Phoenix/App
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Robust web services via interaction contracts
TES'04 Proceedings of the 5th international conference on Technologies for E-Services
PROQID: partial restarts of queries in distributed databases
Proceedings of the 17th ACM conference on Information and knowledge management
FlashLogging: exploiting flash devices for synchronous logging performance
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Log-based middleware server recovery with transaction support
The VLDB Journal — The International Journal on Very Large Data Bases
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We have developed new methods for log-based recovery for middleware servers which involve thread pooling, private in-memory states for clients, shared in-memory state and message interactions among middleware servers. Due to the observed rareness of crashes, relatively small size of shared state and infrequency of shared state read/write accesses, we are able to reduce the overhead of message logging and shared state logging while maintaining recovery independence. Checkpointing has a very small impact on ongoing activities while still reducing recovery time. Our recovery mechanism enables client private states to be recovered in parallel after a crash. On a commercial middleware server platform, we have implemented a recovery infrastructure prototype, which demonstrates the manageability of system complexity and shows promising performance results.