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» Improving Logging and Recovery Performance in Phoenix App
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ICDE
2004
IEEE
119views Database» more  ICDE 2004»
14 years 6 months ago
Improving Logging and Recovery Performance in Phoenix/App
Phoenix/App supports software components whose states are made persistent across a system crash via redo recovery, replaying logged interactions. Our initial prototype force logge...
Roger S. Barga, Shimin Chen, David B. Lomet
IDEAS
2005
IEEE
103views Database» more  IDEAS 2005»
13 years 10 months ago
Persistent Middle Tier Components Without Logging
Enterprise applications need to be highly available and scalable. In the past, this has required “stateless” applications, which essentially require the application to manage ...
David B. Lomet
ICDE
2001
IEEE
113views Database» more  ICDE 2001»
14 years 6 months ago
Measuring and Optimizing a System for Persistent Database Sessions
High availability for both data and applications is rapidly becoming a business requirement. While database systems support recovery, providing high database availability, applica...
Roger S. Barga, David B. Lomet
AAAI
1992
13 years 5 months ago
Analyzing Failure Recovery to Improve Planner Design
Plans fail for many reasons. During planner development, failure can often be traced to actions of the planner itself. Failure recovery analysis is a procedure for analyzing execu...
Adele E. Howe
SIGMOD
2009
ACM
130views Database» more  SIGMOD 2009»
14 years 4 months ago
FlashLogging: exploiting flash devices for synchronous logging performance
Synchronous transactional logging is the central mechanism for ensuring data persistency and recoverability in database systems. Unfortunately, magnetic disks are ill-suited for t...
Shimin Chen