SOAr-DSGrid: Service-Oriented Architecture for Distributed Simulation on the Grid

2006 ◽  
Author(s):  
Xinjun Chen ◽  
Wentong Cai ◽  
S.J. Turner ◽  
Yong Wang
Keyword(s):  
Service Oriented Architecture ◽  
Distributed Simulation ◽  
Service Oriented

SOA-Cloud Computing Based Fast and Scalable Simulation Architecture for Advanced Flight Management System

2014 ◽  
Vol 1016 ◽  
pp. 471-477 ◽  
Author(s):  
Da Chuan Li ◽  
Qing Li ◽  
Nong Cheng ◽  
Jing Yan Song
Keyword(s):  
Cloud Computing ◽  
Management System ◽  
Service Oriented Architecture ◽  
Distributed Simulation ◽  
Operation Conditions ◽  
Service Oriented ◽  
Key Enabling Technologies ◽  
System Configurations ◽  
System Designs ◽  
Simulation Unit

This paper presents a SOA and cloud computing based architecture for the distributed simulation of advanced flight management system (FMS). The architecture is designed to facilitate the fast simulation, validation and evaluation of different FMS system designs and functionalities with customized system configurations and widely varying aircraft equipage levels under various operation conditions. It is also intended to accommodate the potential evolutionary extensions of new avionics concepts and functionalities such as the future CNS/ATM and 4-D trajectory based technologies. To address the requirements of flexibility, scalability and reusability, the design of the simulation architecture takes advantage of the cloud computing and service oriented architecture (SOA) and the key enabling technologies are developed: simulation unit service encapsulation, simulation agent technology and simulation orchestration. Based on the proposed architecture associated technologies, the simulation components are encapsulated as services or accessed through agents, and the configuration of different FMS system frameworks and simulation tasks can be achieved through simulation orchestration. A prototype avionic simulation system that implements the SOA/cloud computing architecture is developed and illustrated with application cases. The applications demonstrate that the proposed architecture enables fast and scalable simulation of both existing and new FMS design and technologies.

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