Paper Info
Title
A mobile agent team works model for HPC big data analysis: Fuzzy logic application
Abstract
The aim of this paper is to present a distributed implementation of the Type-2 Fuzzy Logic (T2FL) algorithm in a mobile agent based distributed computing platform. The proposed algorithm is assigned to be implemented on an SPMD (Single Program Multiple Data) architecture which is based on a cooperative mobile agent model. It is constituted by a set of mobile agents as AVPEs (Agent Virtual Processing Elements) in order to improve the processing resources needed for performing the big data image segmentation. In this work we focused on the application of this algorithm to process the big data MRI (Magnetic Resonance Images) image. The input image is splitted into elementary images by the Mobile Team leader Agent and encapsulated one per AVPE. Each AVPE perform and exchange the segmentation results and maintain asynchronous communication with their Team leader agent until the convergence of this algorithm. The obtained experimental results in terms of accuracy and efficiency analysis of the proposed distributed implementation are achieved thanks to the mobile agents several interesting skills introduced in this distributed computational model.
Year
DOI
Venue
2015
10.1109/ICTA.2015.7426917
2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA)
Keywords
Field
DocType
Distributed Type-2 Fuzzy algorithm,Image Processing,Mobile Agents,Parallel and Distributed Computing
Asynchronous communication,Data mining,SPMD,Algorithm design,Computer science,Mobile agent,Fuzzy logic,Image segmentation,Big data,Mobile telephony,Distributed computing
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Fatema Zahra Benchara101.01
Mohamed Youssfi268.68
Omar Bouattane31110.43
Hassan Ouajji402.03