Service-Oriented Model Encapsulation and Selection Method for Complex System Simulation Based on Cloud Architecture

Abstract

With the rise in cloud computing architecture, the development of service-oriented simulation models has gradually become a prominent topic in the field of complex system simulation. In order to support the distributed sharing of the simulation models with large computational requirements and to select the optimal service model to construct complex system simulation applications, this paper proposes a service-oriented model encapsulation and selection method. This method encapsulates models into shared simulation services, supports the distributed scheduling of model services in the network, and designs a semantic search framework which can support users in searching models according to model correlation. An optimization selection algorithm based on quality of service (QoS) is proposed to support users in customizing the weights of QoS indices and obtaining the ordered candidate model set by weighted comparison. The experimental results showed that the parallel operation of service models can effectively improve the execution efficiency of complex system simulation applications, and the performance was increased by 19.76% compared with that of scatter distribution strategy. The QoS weighted model selection method based on semantic search can support the effective search and selection of simulation models in the cloud environment according to the user’s preferences.

Multiagent-Based Modeling and Simulation of a Coal Multimodal Transport System

“…The graph-based modeling approach captures physical connections in complex optimization models through algebraic graph abstraction, capturing communication connections in computing architectures through computational graph abstraction [6].To support the distributed sharing of computationally intensive simulation models and select the optimal service model to build for complex system simulation applications, scholars have proposed a service-oriented model encapsulation and chosen method [7]. The process encapsulates the model into a shared simulation service, supports the distributed scheduling of the model service in the network, helps the user search the model, and customizes the weight of the service quality indicator.…”

Computation in Complex Networks

“…In the paper “Service-Oriented Model Encapsulation and Selection Method for Complex System Simulation Based on Cloud Architecture” by Xiong et al [ 16 ], a service-oriented model encapsulation and selection method to construct complex system simulation applications was proposed. The method encapsulates models with large computational requirements in shared simulation services in the cloud architecture.…”