scholarly journals Real-Time Multimedia Stream Data Processing in a Supercomputer Environment

10.5772/36673 ◽  
2012 ◽  
Author(s):  
Henryk Krawczyk ◽  
Jerzy Proficz
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Stream Data ◽  
Multimedia Stream ◽  
Stream Data Processing

SBASH Stack Based Allocation of Sheer Window Architecture for Real Time Stream Data Processing

2020 ◽  
Vol 1 (1) ◽  
pp. 1-21
Author(s):  
Devesh Kumar Lal ◽  
Ugrasen Suman
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Data Streams ◽  
Time Complexity ◽  
Data Stream ◽  
Stream Data ◽  
Time Data ◽  
Processing Data ◽  
Stream Data Processing ◽  
Window Selection

The processing of real-time data streams is complex with large number of volume and variety. The volume and variety of data streams enhances a number of processing units to run in real time. The required number of processing units used for processing data streams are lowered by using a windowing mechanism. Therefore, the appropriate size of window selection is vital for stream data processing. The coarse size window will directly affect the overall processing time. On the other hand, a finely sized window has to deal with an increased number of management costs. In order to manage such streams of data, we have proposed a SBASH architecture, which can be helpful for determining a unipartite size of a sheer window. The sheer window reduces the overall latency of data stream processing by a certain extent. The time complexity to process such sheer window is equivalent to w log n w. These windows are allocated and retrieved in a stack-based manner, where stacks ≥ n, which is helpful in reducing the number of comparisons made during retrieval.

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