Title
A SOOA Based Distributed Computing Mechanism for Road Traffic Noise Mapping
Abstract
Current traffic noise mapping systems are not ideal for distributed computing in dynamic network. This paper investigates the approach and mechanism of distributed noise map generation based on Service Object Oriented Architecture (SOOA). Service Oriented Computing Environment (SORCER) is employed to build a highly flexible distributed network services space. After that, a SOOA based computer aided noise mapping system is presented. For this system, the procedure of traffic noise mapping, the data structure of sound objects, the tasks management mechanism, and the calculation services building are introduced in detail. At last, this paper introduces a real traffic noise mapping project to demonstrate the mechanism and the system. This system aims to enable asynchronous distributed noise mapping generation with ease of alternative calculation services, reduced computing cost, and improved resolution quality.
Year
DOI
Venue
2011
10.1109/ICDMA.2011.34
ICDMA
Keywords
Field
DocType
road traffic noise mapping,distributed noise map generation,traffic noise prediction,network services space,sooa based distributed computing mechanism,computer aided noise mapping,real traffic noise mapping,noise map generation,service object-oriented architecture,sorcer,current traffic noise mapping,noise mapping generation,noise (working environment),noise pollution,environmental science computing,computing mechanism,distributed computing,computer aided noise mapping system,road traffic,noise mapping system,traffic noise mapping,service object oriented architecture,service oriented computing environment,distributed processing,calculation services building,tasks management mechanism,object oriented,service oriented computing,geometry,computer architecture,data structure,noise
Dynamic network analysis,Data structure,Asynchronous communication,Computer-aided,Computer science,Noise map,Traffic noise,Noise pollution,Service-oriented architecture,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-4455-7
0
0.34
References 
Authors
1
3
Name
Order
Citations
PageRank
Nan Li100.68
Tao Feng200.34
Bin Liu300.34