Feature-based high-availability mechanism for quantile tasks in real-time data stream processing

2013 ◽  
Vol 44 (7) ◽  
pp. 855-871 ◽  
Author(s):  
Weilong Ding ◽  
Yanbo Han ◽  
Jing Wang ◽  
Zhuofeng Zhao
Keyword(s):  
Real Time ◽  
Data Stream ◽  
Stream Processing ◽  
High Availability ◽  
Time Data ◽  
Data Stream Processing ◽  
Real Time Data ◽  
Feature Based

scholarly journals A New Architecture for Real Time Data Stream Processing

2017 ◽  
Vol 8 (11) ◽  
Author(s):  
Soumaya Ounacer ◽  
Mohamed Amine ◽  
Soufiane Ardchir ◽  
Abderrahmane Daif ◽  
Mohamed Azouazi
Keyword(s):  
Real Time ◽  
Data Stream ◽  
Stream Processing ◽  
Time Data ◽  
Data Stream Processing ◽  
Real Time Data

Performance Improvement IoT Applications Through Multimedia Analytics Using Big Data Stream Computing Platforms

2018 ◽  
pp. 200-221
Author(s):  
Rizwan Patan ◽  
Rajasekhara Babu M ◽  
Suresh Kallam
Keyword(s):  
Big Data ◽  
Real Time ◽  
Performance Improvement ◽  
Data Stream ◽  
Real Data ◽  
Stream Computing ◽  
Time Data ◽  
Real Time Data ◽  
Computing Platforms ◽  
Time And Energy

A Big Data Stream Computing (BDSC) Platform handles real-time data from various applications such as risk management, marketing management and business intelligence. Now a days Internet of Things (IoT) deployment is increasing massively in all the areas. These IoTs engender real-time data for analysis. Existing BDSC is inefficient to handle Real-data stream from IoTs because the data stream from IoTs is unstructured and has inconstant velocity. So, it is challenging to handle such real-time data stream. This work proposes a framework that handles real-time data stream through device control techniques to improve the performance. The frame work includes three layers. First layer deals with Big Data platforms that handles real data streams based on area of importance. Second layer is performance layer which deals with performance issues such as low response time, and energy efficiency. The third layer is meant for Applying developed method on existing BDSC platform. The experimental results have been shown a performance improvement 20%-30% for real time data stream from IoT application.

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