Real Time Search Technique for Distributed Massive Data Using Grid Computing

2019 ◽  
pp. 132-147
Author(s):  
Mohammed Bakri Bashir ◽  
Adil Yousif ◽  
Muhammad Shafie Abd Latiff
Keyword(s):  
Grid Computing ◽  
Real Time ◽  
Massive Data ◽  
Search Technique

scholarly journals Remote Video Surveillance System Based on Direct Show and Image Compression

2013 ◽  
Vol 756-759 ◽  
pp. 439-442
Author(s):  
Shang Fu Gong ◽  
Li Gang Wu ◽  
Yan Jun Wang
Keyword(s):  
Image Compression ◽  
Real Time ◽  
Video Surveillance ◽  
Data Transmission ◽  
Video Transmission ◽  
Massive Data ◽  
Time Requirements ◽  
Rich Information ◽  
Precautionary Measures ◽  
Application Requirements

Video surveillance, convenience and rich information, has been widely used in security, protection, monitoring and other occasions, and has already been one of the most important precautionary measures in commercial, residential and transportation areas. However, considering the massive data transmission needs and higher real-time requirements for video surveillance, a remote video surveillance plan has been put forward on the analysis basis of Microsoft DirectShow and Image Compression. This plan adopts the C/S structure, adapts to the requirements of real-time video transmission, with a better fluency. In addition, the picture clarity satisfies the application requirements.

Imaging and visual analysis---Toward real-time image guided neurosurgery using distributed and grid computing

2006 ◽  
Author(s):  
Nikos Chrisochoides ◽  
Andriy Fedorov ◽  
Andriy Kot ◽  
Neculai Archip ◽  
Peter Black ◽  
...  
Keyword(s):  
Grid Computing ◽  
Real Time ◽  
Visual Analysis ◽  
Image Guided ◽  
Real Time Image ◽  
Time Image

scholarly journals A Timing Constraint Search Technique for a TMO based Real-time Process

2006 ◽  
Vol 2 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Yoon-Seok Jeong ◽  
Tae-Wan Kim ◽  
Sun-Young Han ◽  
Chun-Hyon Chang
Keyword(s):  
Real Time ◽  
Time Process ◽  
Search Technique ◽  
Timing Constraint

The Application of Grid Computing to Real-Time Functional MRI Analysis

2004 ◽  
pp. 290-302 ◽  
Author(s):  
E. Bagarinao ◽  
L. Sarmenta ◽  
Y. Tanaka ◽  
K. Matsuo ◽  
T. Nakai
Keyword(s):  
Grid Computing ◽  
Real Time ◽  
Functional Mri

scholarly journals Real Time Anomaly Detection in Massive Data Streams with ELK Stack

2019 ◽  
Vol 15 (6) ◽  
pp. 814-823
Author(s):  
Jakup Fondaj ◽  
Zirije Hasani
Keyword(s):  
Anomaly Detection ◽  
Real Time ◽  
Data Streams ◽  
Massive Data

Application of Real-Time Monitoring and Data Web Sharing to Landslides

2012 ◽  
Vol 166-169 ◽  
pp. 2787-2793
Author(s):  
Hong De Wang ◽  
Qi Lang Le ◽  
Xiu Yuan Yang ◽  
You Long Gao
Keyword(s):  
Communication Network ◽  
Real Time ◽  
Communication Technologies ◽  
The Internet ◽  
Massive Data ◽  
Real Time Monitoring ◽  
Time Data ◽  
Geologic Hazard ◽  
Data Elements ◽  
Central Station

Acquiring instant information and sharing massive data are indispensable elements in social informatization. Real-time monitoring is realized with the support of computer and communication technologies. The monitoring facilities which are controlled by communication network terminal computers would collect and transfer data according to established procedures or real-time instructions. That is, data could be acquired under all weather and no duty conditions. Then the acquired massive data could be widely shared by issuing on Internet Web. This whole procedure is called real-time monitoring. Demonstration station for real-time monitoring and prewarning is just used to issue monitoring instructions, collect and transfer real-time data through GPRS wireless network between local monitoring stations and central station on the basis of computer and modern communication technologies. So the monitoring data elements could be gathered on central station server computer through communication network, and then be Web published and shared through the connection of central station sever computer and the Internet. Thus, informatization for landslides monitoring could be realized, and information could be optimally utilized. The geologic hazard monitoring and prewarning demonstration station in Wushan County was a good example of real-time monitoring and data Web sharing for landslides, which has greatly improved the level of geologic hazard monitoring and prewarning in China.

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