Simulation and modeling methodologies, technologies and applications [electronic resource] : International Conference, SIMULTECH 2013 Reykjavík, Iceland, July 29--31, 2013, revised selected papers / Mohammad S. Obaidat...[and more], editors.

Preface; Organization; Conference Co-chairs; Program Co-chairs; Organizing Committee; Program Committee; Auxiliary Reviewers; Invited Speakers; Contents; Part IInvited Paper; 1 Context-Aware Decision Support in Dynamic Environments: Theoretical and Technological Foundations; Abstract; 1 Introduction; 2 Theoretical Foundations; 3 Technological Foundations; 4 Fire Response; 5 Conclusions; Acknowledgments; References; Part IIPapers; 2 Creating Hybrid Simulation Systems Using a Flexible Meta Data Approach; Abstract; 1 Introduction; 2 The Real-Time Simulation Database; 2.1 Meta Information

2.2 Instances2.3 Properties; 2.4 Database Structure; 2.5 Active Database; 2.6 3D Simulation; 2.7 Simulation System; 3 State Oriented Modeling Language; 3.1 Supervisory Control; 3.2 Language Features; 3.3 Interpreting and Executing SOML++ Code; 3.4 Realizing Supervisory Control; 4 Applications; 4.1 Virtual Testbeds; 4.2 Simulation Based Control; 5 Conclusions and Future Work; References; 3 Simulation of Real-Time Multiprocessor Scheduling Using DES; Abstract; 1 Introduction; 2 Motivation; 3 Context; 4 Implementation; 4.1 Discrete-Event Simulation; 4.2 Architecture; 5 Scheduler Component

5.1 Scheduler Interface5.2 Handling Various Kinds of Scheduling; 5.3 Lock; 5.4 Example; 6 Job Computation Time; 6.1 A Generic Approach; 6.2 Modeling Memory Behaviors; 7 Simulation Tool; 7.1 Features; 7.2 Use as an Educational Tool; 7.3 Application Example; 8 Related Work; 9 Conclusions; Acknowledgments; References; 4 Epidemics and Their Implications in Urban Environments: A Case Study on a National Scope; Abstract; 1 Introduction; 1.1 Related Work; 1.2 Our Results; 2 Theoretical Models and Algorithmic Framework; 2.1 The Environment on a Large Scale; 2.2 The Environment on a Small Scale

2.3 Epidemic Model2.4 Countermeasure Models; 3 Experimental Analysis; 3.1 Simulations; 3.2 Relevance of the Chosen Parameters; 3.3 Case 1
Number of Agents; 3.3.1 RKI: Basis of Comparison; 3.3.2 Case 1; 3.3.3 Case 2
Non-pharmaceutical Countermeasures; 4 Conclusions; References; 5 Hybrid Multilinear Modeling and Applications; Abstract; 1 Introduction; 2 Hybrid Tensor Systems; 3 Heating Systems Example; 3.1 Controlled Pump; 3.2 Boiler; 3.3 Ambient Temperature; 3.4 Building; 3.5 Consumer; 3.6 Bang Bang Controller; 4 Multi-agent Systems Example; 5 Conclusions; Acknowledgments; References

6 Modeling Interdependent Socio-technical Networks: The Smart Grid
An Agent-Based Modeling ApproachAbstract; 1 Introduction; 2 Related Work; 3 Objectives; 4 Socio-technical Smart Grid Model; 4.1 Description of Model Framework; 4.2 Model Specifics; 4.2.1 Agents with Their Social Network; 4.2.2 Technical Network; 4.2.3 Implementation and Verification; 4.3 Scenario Analysis; 4.3.1 Crossover Effects; 4.3.2 Policy Interventions; 4.3.3 Societal Effects; 5 Conclusions and Future Research; References