Principles of database buffer management
ACM Transactions on Database Systems (TODS)
Analysis of the generalized clock buffer replacement scheme for database transaction processing
SIGMETRICS '92/PERFORMANCE '92 Proceedings of the 1992 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Optimal Partitioning of Cache Memory
IEEE Transactions on Computers
Goal-oriented buffer management revisited
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Sequentiality and prefetching in database systems
ACM Transactions on Database Systems (TODS)
Middle-tier database caching for e-business
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Characteristics of production database workloads and the TPC benchmarks
IBM Systems Journal - End-to-end security
CAR: Clock with Adaptive Replacement
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
CLOCK-Pro: an effective improvement of the CLOCK replacement
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Q-clouds: managing performance interference effects for QoS-aware clouds
Proceedings of the 5th European conference on Computer systems
CacheCOW: QoS for storage system caches
IWQoS'03 Proceedings of the 11th international conference on Quality of service
Towards an SLA-Driven cache adjustment approach for applications on PaaS
Proceedings of the 5th Asia-Pacific Symposium on Internetware
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We discuss the challenges of devising a useful shared data cache service as a part of the cloud platform. Outside the cloud, such a service appeals to developers for two main reasons. Most importantly, data caches reduce the response latency experienced by users. For example, rendering a content page with various personalized boxes as part of a user web session often involves numerous database lookups. Therefore, if the content generation involves cheap memory accesses to a data cache instead of actual database queries, the user experiences will improve. Moreover, data caches are simple to use: they normally expose a simple get/set interface akin to key/value stores and a rudimentary mechanism to expire values [2], thus allowing result-based caching to be seamlessly integrated with existing database-driven code.