2000
DOI: 10.1109/69.868911
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MDARTS: a multiprocessor database architecture for hard real-time systems

Abstract: ÐComplex real-time systems need databases to support concurrent data access and provide well-defined interfaces between software modules. However, conventional database systems and prior real-time database systems do not provide the performance or predictability needed by high-speed, hard real-time applications. To address this need, we have designed, implemented, and evaluated an object-oriented database system called MDARTS (Multiprocessor Database Architecture for Real-Time Systems). MDARTS avoids the clien… Show more

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Cited by 10 publications
(5 citation statements)
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“…MDARTS by Lortz et al [18] "provides hard real-time transaction times" by precalculating the worst-case execution time of every transaction. The authors discuss bounds on transaction overheads from preemption, locks, and interrupts.…”
Section: Related Work 21 Real-time Databasesmentioning
confidence: 99%
“…MDARTS by Lortz et al [18] "provides hard real-time transaction times" by precalculating the worst-case execution time of every transaction. The authors discuss bounds on transaction overheads from preemption, locks, and interrupts.…”
Section: Related Work 21 Real-time Databasesmentioning
confidence: 99%
“…The SIS and DCS interface can adopt standard interface, it is convenient and reliable. The scheme as a network architecture design of SIS system, because the system function design requirements that the SIS system do not have control function, it is still the open loop structure which obligate larger space for future system extension and upgrade [18][19][20].…”
Section: Design Schemementioning
confidence: 99%
“…This information includes the task's deadline, its expected processing time and I/O requirements, and the priority assigned to it. Scheduling techniques have been proposed which make use of this information in order to maximize the number of transactions which complete within their deadlines [1,30,35]. Optimization of assignment of tasks in distributed soft real-time environments has been studied in [26].…”
Section: Related Workmentioning
confidence: 99%