Principles of transaction-oriented database recovery
ACM Computing Surveys (CSUR)
Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
A Crash Recovery Scheme for a Memory-Resident Database System
IEEE Transactions on Computers
Introduction to algorithms
Parallel database systems: the future of high performance database systems
Communications of the ACM
The Recovery Manager of the System R Database Manager
ACM Computing Surveys (CSUR)
A real-time garbage collector based on the lifetimes of objects
Communications of the ACM
Audit trail compaction for database recovery
Communications of the ACM
Operating system support for database management
Communications of the ACM
XEL: extended ephemeral logging for log storage management
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Extended ephemeral logging: log storage management for applications with long lived transactions
ACM Transactions on Database Systems (TODS)
An Analysis of Main-Memory and Log Space Usage in Extended Ephemeral Logging
BNCOD 18 Proceedings of the 18th British National Conference on Databases: Advances in Databases
Synchronization and recovery in a client-server storage system
The VLDB Journal — The International Journal on Very Large Data Bases
Log Compaction and Garbage Collection: What could they Bring to Each Other?
IWOOOS '95 Proceedings of the 4th International Workshop on Object-Orientation in Operating Systems
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Ephemeral logging (EL) is a new technique for managing a log of database activity on disk. It does not require periodic checkpoints and does not abort lengthy transactions as frequently as traditional firewall logging for the same amount of disk space. Therefore, it is well suited for highly concurrent databases and applications which have a wide distribution of transaction lifetimes.This paper briefly explains EL and then analyzes its performance. Simulation studies indicate that it can offer significant savings in disk space, at the expense of slightly higher bandwidth for logging and more main memory. The reduced size of the log implies much faster recovery after a crash as well as cost savings.EL is the method of choice in some but not all situations. We assess the limitations of our current knowledge about EL and suggest promising directions for further research.