NDLI: Maintaining data temporal consistency in distributed real-time systems

Content Provider	Springer Nature Link
Author	Wang, Jiantao Han, Song Lam, Kam Yiu Mok, Aloysius K.
Copyright Year	2012
Abstract	Previous works on maintaining temporal consistency of real-time data objects mainly focuses on real-time database systems in which the transmission delays (jitters) of update jobs are simply ignored. However, this assumption does not hold in distributed real-time systems where the jitters of the update jobs can be large and change unpredictably with time. In this paper, we examine the design problems when the More-Less (ML) approach (Xiong and Ramamritham in Proc. of the IEEE real-time systems symposium 1999; IEEE Trans Comput 53:567–583, 2004), known to be an efficient scheme for maintaining temporal consistency of real-time data objects, is applied in a distributed real-time system environment. We propose two new extensions based on ML, called Jitter-based More-Less (JB-ML) and Statistical Jitter-based More-Less (SJB-ML) to address the jitter problems. JB-ML assumes that in the system the jitter is a constant for each update task, and it provides a deterministic guarantee in temporal consistency of the real-time data objects. SJB-ML further relaxes this restriction and provides a statistical guarantee based on the given QoS requirements of the real-time data objects. We demonstrate through extensive simulation experiments that both JB-ML and SJB-ML are effective approaches and they significantly outperform ML in terms of improving schedulability.
Starting Page	387
Ending Page	429
Page Count	43
File Format	PDF
ISSN	09226443
Journal	Real-Time Systems
Volume Number	48
Issue Number	4
e-ISSN	15731383
Language	English
Publisher	Springer US
Publisher Date	2012-04-14
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Real-time databases Temporal consistency Data freshness Scheduling and jitters Control, Robotics, Mechatronics Special Purpose and Application-Based Systems Computer Systems Organization and Communication Networks Communications Engineering, Networks Performance and Reliability
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Computer Networks and Communications Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications Modeling and Simulation

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