Real Time Database Systems

Lindström, Jan

doi:10.1002/9780470050118.ecse575

Cited by 8 publications

(3 citation statements)

References 58 publications

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“…Many such systems were built for both research and commercial purposes [6 -8]. Some of them offer only partial realtime functionality while others provide a full support [8].…”

Section: Related Workmentioning

confidence: 99%

An SDDS-Based Architecture for a Real-Time Data Store

Lasota¹,

Deniziak²,

Chrobot³

2016

IJIEEB

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Recent prognoses about the future of Internet of Things and Internet Services show growing demand for an efficient processing of huge amounts of data within strict time limits. First of all, a real-time data store is necessary to fulfill that requirement. One of the most promising architecture that is able to efficiently store large volumes of data in distributed environment is SDDS (Scalable Distributed Data Structure). In this paper we present SDDS LH * RT , an architecture that is suitable for real-time applications. We assume that deadlines, defining the data validity, are associated with real-time requests. In the data store a real-time scheduling strategy is applied to determine the order of processing the requests. Experimental results shows that our approach significantly improves the storage Quality-of-service in a real-time environment.

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“…Many such systems were built for both research and commercial purposes [6 -8]. Some of them offer only partial realtime functionality while others provide a full support [8].…”

Section: Related Workmentioning

confidence: 99%

An SDDS-Based Architecture for a Real-Time Data Store

Lasota¹,

Deniziak²,

Chrobot³

2016

IJIEEB

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“…Distributed real-time database systems have been also studied on literature e.g. [19,20,25,27,32,34]. To authors knowledge DeeDS is the only distributed real-time database system mentioning eventual consistency.…”

Section: Related Workmentioning

confidence: 99%

“…A real-time database system (RTDBS) is a database system intended to handle workloads whose state is constantly changing [9,27]. Traditional databases contain persistent data, mostly unaffected by time in contrast.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Eventual Consistency

Lindström¹,

Elbushra²

2014

IJFCST

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Many real-time systems are naturally distributed and these distributed systems require not only highavailability but also timely execution of transactions. Consequently, eventual consistency, a weaker type of strong consistency is an attractive choice for a consistency level. Unfortunately, standard eventual consistency, does not contain any real-time considerations. In this paper we have extended eventual consistency with real-time constraints and this we call real-time eventual consistency. Followed by this new definition we have proposed a method that follows this new definition. We present a new algorithm using revision diagrams and fork-join data in a real-time distributed environment and we show that the proposed method solves the problem.

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Introduction

Galić¹

2016

Spatio-Temporal Data Streams

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Real Time Database Systems

Cited by 8 publications

References 58 publications

An SDDS-Based Architecture for a Real-Time Data Store

An SDDS-Based Architecture for a Real-Time Data Store

Real-Time Eventual Consistency

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