Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
A Methodology for Testing Intrusion Detection Systems
IEEE Transactions on Software Engineering
IEEE Spectrum
Theory of Modeling and Simulation
Theory of Modeling and Simulation
SS '00 Proceedings of the 33rd Annual Simulation Symposium
Architectural styles and the design of network-based software architectures
Architectural styles and the design of network-based software architectures
Space-based data management for high performance distributed simulation
Space-based data management for high performance distributed simulation
Toward a flexible and reconfigurable distributed simulation: a new approach to distributed devs
Toward a flexible and reconfigurable distributed simulation: a new approach to distributed devs
Devs unified process for integrated development and testing of service oriented architectures
Devs unified process for integrated development and testing of service oriented architectures
DEVS-based simulation web services for net-centric T&E
Proceedings of the 2007 Summer Computer Simulation Conference
Proceedings of the 2008 Spring simulation multiconference
Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange
Interoperability between DEVS simulators using service oriented architecture and DEVS namespace
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Interoperability between devs simulators using service oriented architecture and devs namespace
Interoperability between devs simulators using service oriented architecture and devs namespace
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As a networkâ聙聶s uses, and especially the number of internet users, increases rapidly, an efficient system for managing large-network traffic datasets becomes an important issue. Although there are several network traffic analysis tools, such as tcpdump, Ethereal, and other applications, these tools have weaknesses, namely the limited size of files, the use of command line execution, the large memory and huge computational power requirements. In addition to these scalability limitations, both tcpdump and Ethereal have security issues. Files captured by these tools keep all of the packet information, such as internet protocol (IP) addresses, port numbers, and packet sizes. As well as basic network traffic information, the captured files contain secure information: user identification numbers (IDs) and passwords. Therefore, the captured files should not be allowed to be leaked out. However, network analyses need to be performed outside the target networks in some cases. This paper presents an approach to efficiently and quickly analyze a large number of network behaviors. This is achieved by applying System Entity Structure (SES) theory. To speed up evaluation time, a web-based distributed simulation approach over Service-oriented Architecture (SOA) is applied. Discrete Event System Specification/Service-oriented Architecture (DEVS/SOA) is used to deploy workloads into multi-servers, increasing overall system performance. A web-based distributed simulation contains two fundamental processes: distributing and analyzing among loosely coupled models through message-passing methods. The distributed simulation â聙聰 allocating distributing models inside networks and assigning analyzing models outside networks â聙聰 also allows the analysis of network behaviors out of networks while keeping important information secured.