@article {16795,
	title = {Performance comparison of three modern DBMS architectures},
	journal = {IEEE Transactions on Software Engineering},
	volume = {19},
	year = {1993},
	month = {1993/02//},
	pages = {120 - 138},
	abstract = {The introduction of powerful workstations connected through local area networks (LANs) inspired new database management system (DBMS) architectures that offer high performance characteristics. The authors examine three such software architecture configurations: client-server (CS), the RAD-UNIFY type of DBMS (RU), and enhanced client-server (ECS). Their specific functional components and design rationales are discussed. Three simulation models are used to provide a performance comparison under different job workloads. Simulation results show that the RU almost always performs slightly better than the CS, especially under light workloads, and that ECS offers significant performance improvement over both CS and RU. Under reasonable update rates, the ECS over CS (or RU) performance ratio is almost proportional to the number of participating clients (for less than 32 clients). The authors also examine the impact of certain key parameters on the performance of the three architectures and show that ECS is more scalable that the other two},
	keywords = {client-server, Computational modeling, Computer architecture, database management systems, DBMS architectures, design rationales, functional components, Indexes, Local area networks, Military computing, Packaging, Performance analysis, performance evaluation, RAD-UNIFY type, simulation models, simulation results, Software architecture, software architecture configurations, software engineering, Throughput, Workstations},
	isbn = {0098-5589},
	doi = {10.1109/32.214830},
	author = {Delis,A. and Roussopoulos, Nick}
}
@article {16984,
	title = {Batched searching of sequential and tree structured files},
	journal = {ACM Trans. Database Syst.},
	volume = {1},
	year = {1976},
	month = {1976/09//},
	pages = {268 - 275},
	abstract = {The technique of batching searches has been ignored in the context of disk based online data retrieval systems. This paper suggests that batching be reconsidered for such systems since the potential reduction in processor demand may actually reduce response time. An analysis with sample numerical results and algorithms is presented.},
	keywords = {<italic>B</italic>-trees, batched searching, Data structures, Database systems, file management, Indexes, informational retrieval, sequential files, tree structures},
	isbn = {0362-5915},
	doi = {10.1145/320473.320487},
	url = {http://doi.acm.org/10.1145/320473.320487},
	author = {Shneiderman, Ben}
}
