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This paper addresses the generation of stochastic models for dependability and performability analysis of complex systems, through automatic replication of template models. The proposed solution is tailored to systems composed by large populations of similar non-anonymous components, interconnected with each other according to a variety of topologies. A new efficient replication technique is presented...
Software-defined networking (SDN) is a networking paradigm to provide automated network management at run time through network orchestration and virtualization. A central controller realizes the automatic network configuration in SDN at run time by conforming to a control plane protocol (e.g., OpenFlow) and switches act as simple forwarding devices. However, SDN are susceptible to cyber attacks and...
Machine Type Communication (MTC) is a key component of future 5G networks, and its realization is now possible due to the advances in technology and the market drivers. Several challenges however exist which hinder the realization of MTC, among which signaling overhead is considered the prominent challenge, particularly due to the massive number of devices in MTC networks. In this work, we consider...
The paper proposes a novel validity evaluation method, Improved Feature Selective Validation, in order to evaluate the uncertainty analysis results in Electromagnetic Compatibility simulation. By comparing with the questionnaire results, it is shown that the proposed method can provide more accurate evaluation than a previous method called Mean Equivalent Area Method.
Nowadays, network and telecommunication operators require flexible and dynamic models to deploy new services in a fast, reliable and cost saving way. The Service Function Chaining (SFC) design is particularly suited to meet such needs, especially in conjunction with the Network Function Virtualization (NFV) paradigm that adds a noteworthy elasticity during the SFC deployment phase. Accordingly, SFC...
Mathematical models of the transport flow based on the equation of continuity of the transport stream are analyzed. A method for approximating the observational data on the relationship between the flow density and the velocity of motion based on the modification of the method of least squares is developed. A mathematical model of a diffusion-type traffic flow in stochastic conditions is proposed.
A data mining of several Bugzilla datasets using Software Reliability models is presented. We analyzed Bugzilla reports from the Xfce, Firefox, Eclipse and Tomcat projects for a long period of time of several thousand of days. In all the cases, an increasing failure rate have been found. Increasing failure rates are usually modeled by the S-shaped model in the literature. We propose to use some models...
The problem of dependability assessment can be solved analytically just under predefined conditions. If they do not hold, alternative approaches must apply. Widely, they rely on the Monte Carlo simulation, suffering by the high computational complexity. Some rest on further instruments such as probabilistic timed automata that have been shown to be efficient to solve problems in various areas. However,...
A stochastic electromagnetic-circuit modeling workflow is presented for the computer-aided analysis of electromagnetic interference effects in multi-scale, shielded environments. The multi-scale complexity of the environment is tackled through the selective relaxation of the full electromagnetic coupling between different sub-domains when appropriate. The Stochastic Collocation technique is relied...
In order to improve the prediction accuracy of GM(1,1) this paper points out the disadvantages of using least square method to solve the parameters of model, attempts to use particle swarm optimization algorithm (PSO) to calculate the parameter of GM(1,1), introduces the stochastic strategy into PSO to endow the inertia weight of particle randomly, and then selects high-rising exponential sequence...
A phased-mission system (PMS) is usually consisting of a number of non-overlapping phases, and the phases should be completed sequentially to achieve a successful mission. In practice, imperfect fault coverage (IPC) plays an important effect on the system reliability. In this paper, stochastic multi-value (SMV) models are proposed to predict the system reliability of a multi-stated PMS consisting...
In this paper, we propose a bounded-confidence opinion model and focus on the study of the opinion consensus probability based on long-range opinion interactions. In this model, each agent updates its opinion using some agents' opinion values according to its confidence bound. We provide a lower bound of the opinion consensus probability when the confidence bound is sufficiently small. Also, we give...
Software development for Cyber-Physical Systems (CPS), e.g., autonomous vehicles, requires both functional and non-functional quality assurance to guarantee that the CPS operates safely and effectively. EAST-ADL is a domain specific architectural language dedicated to safety-critical automotive embedded system design. We have previously modified EAST-ADL to include energy constraints and transformed...
There is a certain type controller that has unknown and complex deterministic trend output of changing with time slowly in actual industrial processes. And the traditional minimum variance criterion can't be used to evaluate the stochastic performance of the controller directly. Hence this paper presents a method to address the difficulties in such case, which combines wavelet technology and minimum...
Churn prediction is very important to the insurance industry. Therefore, there is a big value to investigate how to improve its performance. More importantly, a good model can be used by a common service provider and benefit many companies. State-of-the-art methods either use 1) shallow models such as logistic regression, with sophisticated feature engineering, or 2) deep models that learn features...
The existing cellular networks are being modified under the umbrella of fifth generation (5G) networks to provide high data rates with optimum coverage. Current cellular systems operating in ultra high frequency (UHF) bands suffer from severe bandwidth congestion hence 5G enabling technologies such as millimeter wave (mmWave) networks focus on significantly higher data rates. In this paper, we explore...
The analysis for extra-functional properties like power and performance takes a critical role in the system design workflow. Hardware-software co-simulation is one of the commonly used ways to perform this type of analysis. However, with the modern development of many-core systems the problem of scalability is becoming a bottleneck for all analysis techniques including simulation, especially when...
In this position paper, we provide a discussion of the need for new mechanisms towards optimizing the performance of the firth generation (5G) wireless systems, and then we outline on-going research work and results in this direction. Initially we go over the recently proposed concept of network anticipation and then resource allocation, since these two themes form the core of the ACT5G research project...
Millimeter wave (mmWave) communication offers Gbps data transmission, which can support massive data sharing in vehicle-to-infrastructure (V2I) networks. In this paper, we analyze the blockage effects among different vehicles and coverage probability of a typical receiver, considering cross street BSs near urban intersections in a multi-lane mmWave vehicular network. First, a three-dimensional model...
This paper discusses simulation design and analysis for Silicon Carbide (SiC) manufacturing operations management at New York Power Electronics Manufacturing Consortium (PEMC) facility. Prior work has addressed the development of manufacturing system simulation as the decision support to solve the strategic equipment portfolio selection problem for the SiC fab design [1]. As we move into the phase...
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