Simulation on the Web with distributed models and intelligent agents

Abstract

Simulation is aimed very often to solve problems of great complexity requiring -beyond using the advanced simulation software tools -platforms that enable the implementation of such software systems. In recent years the concept of cloud computing has emerged and is being applied more and more widely for solving such problems. This paper, beyond delineating the main trends of the development of distributed simulation over a grid, especially over the Internet through Web-based applications, highlights the concepts of service-based simulation system approach. This concept gives the possibility of implementing Web-or cloud agents and other ASP system compliant simulation services based on simulation standards. As a sample application, Fuzzy Web Service is demonstrated as a part of CASSANDRA 4.0 (Cognizant Adaptive Simulation System for Applications in Numerous Different Relevant Areas) that is developed by the McLeod Institute of Simulation Sciences Hungarian Center.

Design of Distributed Discrete-Event Simulation Systems Using Deep Belief Networks

“…There are several issues that we will start exploring, and this approach may contribute. For example, cloud computing [4,[6][7][8][9]11], the World Wide Web of simulation [3,5,7,10], and autonomic computing (AC) [6]. We can use our approach to design simulators/configurations for these platforms.…”

“…They also can include a more loosely coupled system where each processor has its local memory and a communication scheme based on messages. In addition, new initiatives, especially on platforms such as cloud-based virtualized arrangements and Internet-scale settings, can make PDDES more viable, easy to use, and cost-effective [3][4][5][6][7][8][9][10][11][12].…”

A Load Balancing Scheme Using Federate Migration Based on Virtual Machines for Cloud Simulations

“…Key techniques in Cloud computing such as virtualization technology, automatic deployment, resource management, Web services, SOA, high performance I/O, and high-speed internet are well-developed and have been widely applied in various domains. Accordingly in the area of modeling and simulation (M&S), Cloud-based computer simulation (CSim) [1][2][3][4][5][6] has been proposed and designed to provide users with better solutions to solve M&S problems including large capital outlays in hardware but low utilization, high complexity in building simulation system, and high labor cost in simulation software maintenance.…”

“…(iii) Cloud agents and web-based simulations: Jávor and Fur [6] proposes to solve high complexity problems using advanced Web services and Cloud computing techniques. It designs a framework in which cloud agents are composed of Web services integrating complex agent elements including large databases and different novel concepts of inference engines.…”

A Simulation Model Design Method for Cloud-Based Simulation Environment

“…The schema and paradigm of cloud-based environment are stated [16,17]. The calling method of simulation models by using intelligent agent is proposed [18], and the integration method to plant existing simulation software into the cloud is studied [19]. These jobs are more concerned about the theory and some specific methods of this new concept.…”