The DLR-ORECOP real-time replication control protocol

Said, Anis Haj; Sadeg, Bruno; Ayeb, B.; Amanton, Laurent

doi:10.1109/etfa.2009.5347092

Cited by 5 publications

(6 citation statements)

References 16 publications

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“…They aim to reduce the time duration of synchronization operations, such as the work by [23] that changed the predefined More-Less framework to maintain temporal consistency. In addition, the work by [24] proposes a new protocol to give more chances to meet the transaction deadlines. Their protocol depends on building Lists of available replicas dynamically during the propagation to tolerate the loss of update messages.…”

Section: Related Workmentioning

confidence: 99%

ODCS: On-Demand Hierarchical Consistent Synchronization Approach for the IoT

Saleh,

Alansari,

Hamiaz

et al. 2023

Electronics

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An IoT data system is a time constraint in which some data needs to be serviced on or before its deadline. Distributed processing is one of the most latent sources in such systems and is considered a vital design concern. Many sources of delay in the IoT can affect the availability of data from different resources, which may cause missing data deadlines, resulting in a catastrophic effect. In fact, such systems are inherently distributed in nature and use distributed processing. The distributed processing permits different nodes to obtain the information from remote sites, which may take a long time to access the required data. Therefore, it is considered one of the most latent sources in such systems, which is considered a vital design concern. The typical recommended solution for this problem is to commit distributed transactions locally. Therefore, replication techniques are used to enhance the availability of data and consequently avoid the resulting latency. However, the use of local processing raises inconsistent periods. Therefore, this study proposes a new synchronization framework to minimize periods of temporal inconsistency. It permits several connected nodes to synchronize the shared data on demand concurrently without any need to use distributed synchronization, which consumes the system resource and raises its delay cost. The proposed framework aims to enhance the timely response of IoT real-time systems by minimizing the temporal inconsistency periods. The results indicate that the synchronization framework can be completed within a reasonable time period. They also depict improved consistency by minimizing the temporal inconsistency duration and increasing the chance of meeting critical time requirements.

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Section: Related Workmentioning

confidence: 99%

ODCS: On-Demand Hierarchical Consistent Synchronization Approach for the IoT

Saleh,

Alansari,

Hamiaz

et al. 2023

Electronics

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“…In this section, we present the QoS management architecture proposed in [3], on which we based our work. We describe, also, an overview of the data replication policies presented in literature, which is used for the QoS enhancement.…”

Section: Related Workmentioning

confidence: 99%

“…In this model, temporal replicas data are updating transparently, and the classical replicas data are updating as RT-RCP protocol presented by Haj Said et al [3].…”

Section: Qos Management Approaches Using Different Data Replication Pmentioning

confidence: 99%

“…There are two sub-types of real-time distributed user transaction: remote and local [3]. Remote transactions are executed at more than one node, whereas the local transactions are executed only at one node.…”

Section: Transaction Modelmentioning

confidence: 99%

“…Also, in our replication model, we proposed to replicate both types of data; the classical data and the temporal data. In this model, temporal replicas data are updating transparently, and the classical replicas data are updating according to the RT-RCP policy presented in [3].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Quality of Service Management in Distributed Feedback Control Scheduling Architecture Using Different Replication Policies

Salem

Bouazizi

Bouaziz

et al. 2014

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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In our days, there are many real-time applications that use data which are geographically dispersed. The distributed real-time database management systems (DRTDBMS) have been used to manage large amount of distributed data while meeting the stringent temporal requirements in real-time applications. Providing Quality of Service (QoS) guarantees in DRTDBMSs is a challenging task. To address this problem, different research works are often based on distributed feedback control real-time scheduling architecture (DFCSA). Data replication is an efficient method to help DRTDBMS meeting the stringent temporal requirements of real-time applications. In literature, many works have designed algorithms that provide QoS guarantees in distributed real-time databases using only full temporal data replication policy.In this paper, we have applied two data replication policies in a distributed feedback control scheduling architecture to manage a QoS performance for DRTDBMS. The first proposed data replication policy is called semi-total replication, and the second is called partial replication policy.

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