High Performance and Scalability through Application-Tier, In-Memory Data Management
Summary: In-memory Front-Tier caches hot subsets of the corporate DB, inter-operating with disk-based RDBMSs for lower latency, higher throughput. Overlapping caches, synchronized with DB and each other, are dynamically reconfigurable, forming a scalable bridge to application servers. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,350 | Transparent Mid-Tier Database Caching in SQL Server | 2003 | SIGMOD | 8.9836753e-05 |
| 5,434 | Mid-Tier Caching: The TimesTen Approach | 2002 | SIGMOD | 5.508409e-05 |
| 12,621 | Distributed Computing with BEA WebLogic Server | 2003 | CIDR | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,759 | In-Memory Data Management for Consumer Transactions: The TimesTen Approach | 1999 | SIGMOD | 6.7791262e-05 |
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