The Stream Analysis Model in Grid-based Zero-Latency Data Stream Warehouse. Our proposed Stream Analysis Model (described in Fig. 2) aims to satisfy the above.

Essential data stream elements are captured, analysed on the fly and finally evaluated to detect abnormalities while the entire data streams are stored within a ...

The demand of conducting advanced analysis over fast and huge data streams to capture trends, patterns, and exceptions become crucial. However, fully extracting ...

Our proposed Stream Analysis Model (described in Fig. 2) aims to satisfy the above requirements. Arriving continuous data streams are captured and processed via ...

In this paper, we introduce the Stream Analysis Model with a Grid-based Zero-Latency Data Stream Warehouse (GZLDSWH) framework which allows to perform ...

A framework of building a Grid-based Zero-Latency Data Stream Warehouse (GZLDSWH) to overcome the resource limitation issues in data stream processing without ...

Continuous data streams are information sources in which data arrives in high volume in unpredictable rapid bursts. Processing data streams is a challenging ...

A framework of building a Grid-based Zero-Latency Data Stream Warehouse ... Several approaches have been proposed to model different aspects of a Data Warehouse ...

Towards Service Collaboration Model in Grid-based Zero Latency Data Stream Warehouse (GZLDSWH) Tho Manh Nguyen, A Min Tjoa Institute of Software Technology ...

This paper describes the collaboration model for the grid services which enables the automation of the GZLDSWH in capturing and storing continuous data ...