Collective Value of QoS: A Performance Measure Framework for Distributed Heterogeneous Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Dynamic on-demand updating of data in real-time database systems
Proceedings of the 2004 ACM symposium on Applied computing
A QoS performance measure framework for distributed heterogeneous networks
EURO-PDP'00 Proceedings of the 8th Euromicro conference on Parallel and distributed processing
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As in other application areas, there is an increasing need for managing a large amount of data in the real-time area. This need gave birth to a system called a real-time database system (RTDBS) that provides database operations with timing constraints. One typical timing constraint in an RTDBS is temporal consistency that states that a transaction must read temporally valid data objects. This requires the data objects to be updated repeatedly. This paper proposes three novel schemes that aim to minimize the number of updates of data objects needed for guaranteeing the temporal consistency requirements of transactions with hard-deadlines. The three guarantee schemes differ from each other in the amount of updates and the implementation complexity. This paper also gives a framework for integrating transactions with soft-deadlines into the three guarantee schemes.