Special Issue "Pervasive Simulation for Enhanced Decision Making"

A special issue of Systems (ISSN 2079-8954).

Deadline for manuscript submissions: closed (30 September 2017)

Special Issue Editors

Guest Editor
Prof. José Luis Risco Martín

Complutense University of Madrid, Spain
Website | E-Mail
Interests: DEVS formalism; modeling and simulation methodologies and tools; parallel/distributed simulations; metaheuristics; feature engineering; computer aided design
Guest Editor
Prof. Andrea D’Ambrogio

University of Rome Tor Vergata, Italy
Website | E-Mail
Interests: software performance engineering; model-driven systems and software engineering; business process management; distributed and web-based simulation; systems and software quality
Guest Editor
Prof. Helena Szczerbicka

University of Hannover, Germany
Website | E-Mail
Interests: computer science; simulation; modeling; sensor networks; nature-based algorithms

Special Issue Information

Dear Colleagues,

Theory, Modeling, and Simulation (TMS) play significant roles in almost every aspect of current decision-making challenges. TMS consists of three distinct components: A theory, which can be defined as a set of scientific principles that explains phenomena, modeling, the analytical/numerical applications of theory to solve specific problems, and simulation, which aims to faithfully render the physical problem in the appropriate level of details, so that the critical features emerge organically.

Systems are becoming more complex, more responsive and dynamically adaptive in a shorter timeframe. This new current trend is moving the traditional TMS of decision making systems to a new network-centric, knowledge-based systems of systems TMS paradigm. Thus, TMS of these complex systems necessitates advanced simulation methodologies and tools. In this regard, pervasive simulation technologies may provide the necessary tools to tackle this complexity.

Pervasive simulation integrates and applies the technology developed for cyber physical systems technology, cloud computing, distributed interactive simulation and high performance computing to provide highly available, adaptive and effective simulation platforms. This architecture can be built to encapsulate different simulation resources as fine-grained and/or coarse-grained services so that they can be shared, reused and orchestrated in highly-connected networks. These aspects eventually lead to a new TMS paradigm, in which simulation tools are built upon a potential heterogeneity of hardware or software entities.

The aim of this special issue is to present recent advances on the pervasive role of simulation tools, methodologies and technologies for enabling a more informed and effective online decision making.

All contributions related to the use of pervasive simulation to support decision making in various application areas are welcome. Possible topics of interest are (but are not limited to) the following ones:

  • Agent-based Modeling and Simulation
  • Bio-Medical and Population Modeling
  • Computer Graphics for Simulation
  • Cyber Modeling & Simulation, Ranges, and Tools
  • DEVS Modeling & Simulation
  • Dynamic Data Driven Application Systems
  • Emergency Management Simulation
  • Grand Challenges in Modeling and Simulation
  • Modeling and Simulation as a Service
  • Modeling and Simulation based Systems Engineering
  • Modeling and Simulation for Cyber Physical Systems
  • Modeling and Simulation for Industry 4.0
  • Modeling and Simulation for Intelligent, Adaptive and Autonomous Systems
  • Modeling and Simulation for Sustainability
  • Modeling of 3G, 4G, 5G Networks
  • Modeling of Networking and Telecommunication Systems
  • Performance Evaluation Applied to Network and Telecommunication Systems
  • Performance Validation of Software Systems
  • Simulation applied to Security and Safety
  • Simulation for Performance Evaluation of Computer Systems
  • Simulation in the System Design Flow
  • Verification and Validation of Computer Simulation Models

José L. Risco Martín
Andrea D’Ambrogio
Helena Szczerbicka
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Systems is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (3 papers)

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Research

Open AccessArticle Using Agent-Based Modeling to Assess Liquidity Mismatch in Open-End Bond Funds
Received: 1 October 2017 / Revised: 18 November 2017 / Accepted: 28 November 2017 / Published: 6 December 2017
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Abstract
In this paper, we introduce a small-scale heterogeneous agent-based model of the US corporate bond market. The model includes a realistic micro-grounded ecology of investors that trade a set of bonds through dealers. Using the model, we simulate market dynamics that emerge from
[...] Read more.
In this paper, we introduce a small-scale heterogeneous agent-based model of the US corporate bond market. The model includes a realistic micro-grounded ecology of investors that trade a set of bonds through dealers. Using the model, we simulate market dynamics that emerge from agent behaviors in response to basic exogenous factors (such as interest rate shocks) and the introduction of regulatory policies and constraints. A first experiment focuses on the liquidity transformation provided by mutual funds and investigates the conditions under which redemption-driven bond sales may trigger market instability. We simulate the effects of increasing mutual fund market shares in the presence of market-wide repricing of risk (in the form of a 100 basis point increase in the expected returns). The simulations highlight robust-yet-fragile aspects of the growing liquidity transformation provided by mutual funds, with an inflection point beyond which redemption-driven negative feedback loops trigger market instability. Full article
(This article belongs to the Special Issue Pervasive Simulation for Enhanced Decision Making)
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Open AccessArticle A Conceptual Design of Spatio-Temporal Agent-Based Model for Volcanic Evacuation
Received: 30 August 2017 / Revised: 29 October 2017 / Accepted: 22 November 2017 / Published: 26 November 2017
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Abstract
The understanding of evacuation processes is important for improving the effectiveness of evacuation plans in the event of volcanic disasters. In terms of social processes, the enactment of evacuations in volcanic crises depends on the variability of individual/household responses. This variability of population
[...] Read more.
The understanding of evacuation processes is important for improving the effectiveness of evacuation plans in the event of volcanic disasters. In terms of social processes, the enactment of evacuations in volcanic crises depends on the variability of individual/household responses. This variability of population response is related to the uncertainty and unpredictability of the hazard characteristics of volcanoes—specifically, the exact moment at which the eruption occurs (temporal), the magnitude of the eruption and which locations are impacted (spatial). In order to provide enhanced evacuation planning, it is important to recognise the potential problems that emerge during evacuation processes due to such variability. Evacuation simulations are one approach to understanding these processes. However, experimenting with volcanic evacuations in the real world is risky and challenging, and so an agent-based model is proposed to simulate volcanic evacuation. This paper highlights the literature gap for this topic and provides the conceptual design for a simulation using an agent-based model. As an implementation, an initial evacuation model is presented for Mount Merapi in Indonesia, together with potential applications of the model for supporting volcanic evacuation management, discussion of the initial outcomes and suggestions for future work. Full article
(This article belongs to the Special Issue Pervasive Simulation for Enhanced Decision Making)
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Graphical abstract

Open AccessArticle An Integral Model to Provide Reactive and Proactive Services in an Academic CSIRT Based on Business Intelligence
Received: 1 October 2017 / Revised: 5 November 2017 / Accepted: 14 November 2017 / Published: 23 November 2017
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Abstract
Cyber-attacks have increased in severity and complexity. That requires, that the CERT/CSIRT research and develops new security tools. Therefore, our study focuses on the design of an integral model based on Business Intelligence (BI), which provides reactive and proactive services in a CSIRT,
[...] Read more.
Cyber-attacks have increased in severity and complexity. That requires, that the CERT/CSIRT research and develops new security tools. Therefore, our study focuses on the design of an integral model based on Business Intelligence (BI), which provides reactive and proactive services in a CSIRT, in order to alert and reduce any suspicious or malicious activity on information systems and data networks. To achieve this purpose, a solution has been assembled, that generates information stores, being compiled from a continuous network transmission of several internal and external sources of an organization. However, it contemplates a data warehouse, which is focused like a correlator of logs, being formed by the information of feeds with diverse formats. Furthermore, it analyzed attack detection and port scanning, obtained from sensors such as Snort and Passive Vulnerability Scanner, which are stored in a database, where the logs have been generated by the systems. With such inputs, we designed and implemented BI systems using the phases of the Ralph Kimball methodology, ETL and OLAP processes. In addition, a software application has been implemented using the SCRUM methodology, which allowed to link the obtained logs to the BI system for visualization in dynamic dashboards, with the purpose of generating early alerts and constructing complex queries using the user interface through objects structures. The results demonstrate, that this solution has generated early warnings based on the level of criticality and level of sensitivity of malware and vulnerabilities as well as monitoring efficiency, increasing the level of security of member institutions. Full article
(This article belongs to the Special Issue Pervasive Simulation for Enhanced Decision Making)
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