Performance improvement for real-time video communications by link adaptation in E-GPRS networks

2002 ◽  
Author(s):  
C. Kodikara
Keyword(s):  
Real Time ◽  
Performance Improvement ◽  
Link Adaptation ◽  
Video Communications

Link adaptation for real-time video communications in E-GPRS networks

2004 ◽  
Vol 151 (5) ◽  
pp. 438 ◽  
Author(s):  
C. Kodikara ◽  
S.N. Fabri ◽  
A.M. Kondoz
Keyword(s):  
Real Time ◽  
Link Adaptation ◽  
Video Communications

scholarly journals Performance Improvement in Real-Time Mapping of Thomson Scattering Data to Flux Coordinates in LHD

2012 ◽  
Vol 7 (0) ◽  
pp. 2405058-2405058 ◽  
Author(s):  
Masahiko EMOTO ◽  
Masanobu YOSHIDA ◽  
Chihiro SUZUKI ◽  
Yasuhiro SUZUKI ◽  
Katsumi IDA ◽  
...  
Keyword(s):  
Real Time ◽  
Performance Improvement ◽  
Thomson Scattering ◽  
Scattering 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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