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In this paper we discuss a multi-agent cooperative approach for decentralized, coordinated traffic systems. Intersection controllers are equipped with agents, i.e., autonomous software systems which are capable of communicating and cooperating with one another to achieve an individual or global goal. Our approach is based on real-world traffic parameters and constraints, and is meant to be implemented...
Data visualization is an important aspect of data analytics in an age where decisions are all based on information. Approaches in data visualization, particularly those that have the capability of processing large-scale textual datasets and visualize them as structured information in real-time can be useful for monitoring trends in social media. In this article, we present our GPU accelerated project,...
Real time mobile Health applications highly depend on sensor readings to provide high-quality health services. However, real-time sensor readings may be inaccurate and cause abnormal physiological measurements due to internal and external factors. Thus, abnormal readings have a significant impact on the reliability of such applications and consequently affect the patient's life. This paper addresses...
As cloud computing continues to gain momentum, big data analytics are now offered as Software as a Service (SaaS). Besides the heterogeneity and multi-tenancy of the underlying virtualized environment, scheduling such real-time, data-intensive, embarrassingly parallel applications in a SaaS cloud involves another serious challenge: data locality. Consequently, data-aware scheduling policies should...
In this paper we propose event goodput, i.e., the fraction of events which may be successfully managed by a system, as a relevant metric to describe the performance of battery powered real-time sensor networks. Unlike other performance metrics as response, completion, maximum lateness times, all representing fundamental, but different, figures of merit for the description of the behavior of real-time...
Modeling and simulation have shown essential for forecasting load and resource availability in large-scale complex scenarios. The growth of urban environments, as well as the use of ICT in enabling applications and services, has encouraged several works on the modeling of transportation. High mobility of vehicles in such a context consists of a significant challenge in modeling traffic. Several microscopic...
In the Space domain the High Level Architecture (HLA) is one of the reference standard for Distributed Simulation. However, for the different organization involved in the Space domain (e.g. NASA, ESA, Roscosmos, and JAXA) and their industrial partners, it is difficult to implement HLA simulators (called Federates) able to interact and interoperate in the context of a distributed HLA simulation (called...
This paper presents ongoing work on the formalism of Cyber-Physical Systems (CPS) simulations. These systems are distributed real-time systems, and their simulations might be distributed or not. In this paper, we propose a model to describe the modular components forming a simulation of a CPS. The main goal is to introduce a model of generic simulation distributed architecture, on which we are able...
Available smartphone« and smart objects can use short range connections like Wi-Fi and Bluetooth as a communication technique to exchange information with nearby devices. Those techniques are used in cases of absent end-to-end connection such as in Delay Tolerant or Opportunistic Networks. The study of message transmission processes and contact information in such networks has gained more attention...
Inter-organization business process collaboration is one of the most significant factors driving today's global business development. Such collaborations are typically composed by various processes executed by different organizations and are often difficult to specify and analyze, due to their distributed nature and to data interoperability issues. The standard notation for business process modeling,...
Mesoscopic Traffic Simulation is an important tool in traffic analysis and traffic management support. The balance between traffic modeling details and performance has made Mesoscopic Traffic Simulation one of the key solutions for traffic controllers and policy makers. Mesoscopic traffic simulators offer acceptable speed in simulating normal traffic. However, when traffic prediction and optimization...
Real-time prediction of the air contaminant dispersion is an important issue in hazard assessment and emergency management of air pollution. The conventional atmospheric simulation can seldom give the precise prediction results due to inaccurate input parameters. To improve the accuracy of the prediction of atmospheric model, a real-time data driven atmospheric dispersion simulation based on data...
Cloud computing is attracting an increased number of researches in delivering modeling and simulation abilities as a service. Among which, simulation execution as a service (EaaS) is a hot spot. It aims at releasing users from complex running configurations and meanwhile guaranteeing the QoS requirements. Under the motivation, focusing on EaaS for parallel and distributed simulation (PADS) application,...
The IEEE 1516-2010 — Standard for Modeling and Simulation High Level Architecture (HLA) range of standards are widely used for distributed simulation, interoperability, reusability and the modeling of large-scale systems in many application domains. Although it provides several advantages, the development of distributed simulations based on the HLA standards remains a challenging task that requires...
Complex simulations are often explained in terms of their features. However, the disconnect between such high-level analysis features and their ad hoc realization in a simulation program impedes effectively conducting exploratory analysis across the structural and representational space of the problem domain. Motivated by the significant role that exploratory analysis plays in computational discovery...
Time-Sensitive Networking (TSN) is becoming more important in automotive and industrial sectors. There is no clear strategy how to use TSN to improve and migrate the established real-time protocols without excluding legacy devices. This paper presents a realistic concept to integrate TSN into automation networks. We choose Sercos as a deterministic Industrial-Ethernet protocol to be extended with...
We study a situation where a swarm of robots is deployed to handle multiple different targets in a confined unknown area. The targets are found in real time and each target requires a certain amount of resources. An individual robot may not have sufficient capabilities for its execution, therefore an announcement process can start. We address the issue of how each robot responds itself to one of the...
Vehicle-to-vehicle (V2V) communication technology based on Wi-Fi technology has recently been used to prevent vehicles from colliding with each other. However, in V2V communications, radio waves cannot be diffracted well enough at intersections at which vehicles cannot detect each other. Therefore, such technology might not prevent traffic accidents from occurring. In this study, we used mobile networks...
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