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OCB: A generic benchmark to evaluate the performances of object-oriented database systems

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4471-3209-7_2openalex-snapshot
Texas: An Efficient, Portable Persistent Store
inferredcites →https://doi.org/10.1007/bfb0022180openalex-snapshot
The HyperModel benchmark
inferredcites →https://doi.org/10.1007/bfb0049115openalex-snapshot
Benchmarking object-oriented database systems for CAD
inferredcites →https://doi.org/10.1007/bfb0053069openalex-snapshot
Dynamic clustering in object databases exploiting effective use of relationships between objects
inferredcites →https://doi.org/10.1016/s0928-4869(96)00013-4openalex-snapshot
Simulation of clustering algorithms in OODBs in order to evaluate their performance
inferredcites →https://doi.org/10.1109/cmpcon.1993.289671openalex-snapshot
Clustering techniques for object-oriented database systems
inferredcites →https://doi.org/10.1145/130283.130308openalex-snapshot
On the performance of object clustering techniques
inferredcites →https://doi.org/10.1145/170035.170041openalex-snapshot
The 007 Benchmark
inferredcites →https://doi.org/10.1145/191839.191924openalex-snapshot
Self-adaptive, on-line reclustering of complex object data
inferredcites →https://doi.org/10.1145/191843.191924openalex-snapshot
Self-adaptive, on-line reclustering of complex object data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/3-540-44677-x_5openalex-snapshot
Dynamic Clustering in Object-Oriented Databases: An Advocacy for Simplicity
inferred← citeshttps://doi.org/10.1007/3-540-44677-x_6openalex-snapshot
Opportunistic Prioritised Clustering Framework (OPCF)
inferred← citeshttps://doi.org/10.1007/3-540-44759-8_79openalex-snapshot
Cache Conscious Clustering C3
inferred← citeshttps://doi.org/10.1007/s00778-005-0174-4openalex-snapshot
Path and cache conscious prefetching (PCCP)
inferred← citeshttps://doi.org/10.1016/j.infsof.2006.01.006openalex-snapshot
On using cache conscious clustering for improving OODBMS performance
inferred← citeshttps://doi.org/10.1016/j.jss.2006.04.017openalex-snapshot
Opportunistic prioritised clustering framework for improving OODBMS performance
inferred← citeshttps://doi.org/10.25911/5d6271e647b38openalex-snapshot
Integrated buffer management for object-oriented database systems
inferred← citeshttps://doi.org/10.4018/978-1-59140-935-9.ch016openalex-snapshot
Evaluating the Performance of Dynamic Database Applications
inferred← citeshttps://doi.org/10.4018/978-1-930708-41-9.ch003openalex-snapshot
Object-Oriented Database Benchmarks
inferred← citeshttps://doi.org/10.4018/jdm.2005040102openalex-snapshot
Evaluating the Dynamic Behavior of Database Applications
inferred← citeshttps://doi.org/10.48550/arxiv.0705.0450openalex-snapshot
VOODB: A Generic Discrete-Event Random Simulation Model to Evaluate the Performances of OODBs
inferred← citeshttps://doi.org/10.48550/arxiv.1611.09172openalex-snapshot
Benchmarking OODBs with a Generic Tool
inferred← citeshttps://doi.org/10.5120/4956-7208openalex-snapshot
Augmenting the Performance of Existing OODBMS Benchmarks
inferred← citeshttps://doi.org/10.5445/ir/1000007128openalex-snapshot
An Update Algorithm for Restricted Random Walk Clusters
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