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DRACON: QoS Management for Large-Scale Distributed Real-Time Databases

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Author(s): Woochul Kang | Sang H. Son | John A. Stankovic

Journal: Journal of Software
ISSN 1796-217X

Volume: 4;
Issue: 7;
Start page: 747;
Date: 2009;
Original page

Keywords: distributed real-time database | feedback control | data replication

ABSTRACT
The demand for real-time data services is increasing in many large-scale distributed real-time applications including advanced traffic control, global environment control, and the nation-wide electric power grid control. However, providing quality-of-service (QoS) for data services in such large-scale and geographically distributed environment is a challenging task. In particular, both unpredictable communicational delays and computational workloads of large-scale distributed systems can lead to large number of deadline misses. We have designed a distributed real-time database architecture called DRACON (Decentralized data Replication And CONtrol), which enables QoS guarantees for large-scale distributed real-time applications. DRACON couples cluster-based replica-sharing and a decentralized control structure to address communication and computational unpredictability, simultaneously. The cluster-based replica-sharing mechanism not only enables scalable and bounded-delay access to remote data with high probability, but also decouples clusters to have less interaction, allowing a decentralized, thus scalable, QoS control structure. The simulation study demonstrates that DRACON’s decentralized QoS control structure combined with a decentralized replica-sharing structure provides robust and predictable QoS guarantees in a highly scalable manner.
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