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Over the past decade, software has spread to most areas of our lives. This has led to increased demands on product quality and complexity. Industrial software which belong to a safety-critical area where high quality products are essential. Many processes and standards must be completed and met within stipulated deadlines. The complexity of the software and the boundary conditions of developing it...
Dynamic networks can be characterised by many factors such as changes (e.g., vulnerability change, update of applications and services, topology changes). It is of vital importance to assess the security of such dynamic networks in order to improve the security of them. One way to assess the security is to use a graphical security model. However, the existing graphical security models (e.g., attack...
Abstract-We consider a partially interdependent network and develop mathematical equations relating the fractional size of the connected component of the network, surviving the cascading failure, to the intra-layer degree distribution of the nodes. We show that these system equations can be mathematically analyzed and closed form expressions for the metrics of robustness can be obtained for the Erdos-Renyi...
Cooperation in cellular networks has been recently suggested as a promising scheme to improve system performance. In this work, clusters are formed based on the Mutually Nearest Neighbour relation, which defines which stations cooperate in pair and which do not. When node positions follow a Poisson Point Process (PPP) the performance of the original clustering model can be approximated by another...
Measures of complex network analysis, such as vertex centrality, have the potential to unveil existing network patterns and behaviors. They contribute to the understanding of networks and their components by analyzing their structural properties, which makes them useful in several computer science domains and applications. Unfortunately, there is a large number of distinct centrality measures and...
The opportunistic forwarding paradigm is an emerging technology that takes advantage of the broadcast nature of wireless communications to compensate the channel unreliability. In this paper, we propose an analytical model based on Markov Chain to evaluate the performance of opportunistic forwarding. In our model, the network state is described by the combination of the packet advancement progress...
This paper presents an approach for safety assessment in unmanned aerial system (UAS) operations that uses stochastic fast-time simulation and selected published ground impact fatality/casualty models to calculate fatality risk. The application of simulation allows a sensitivity analysis measuring how different aspects and phases of a UAS operation impact the risk calculations for each of the ground...
Elasticity is the most important feature that differentiatescloud computing from traditional IT infrastructure. Itdefines the capacity of cloud infrastructure provider to acceleratethe provision or the deprovision of the resources needed to deployclient's services. Auto-scaling resource is typically done usingtwo models: reactive and proactive. Most previous researchesmanage elasticity with a single...
The cloud computing ecosystem comprises hundreds of providers, offering diverse computing services, incompatible APIs, and significantly different pricing models. Cloud application management platforms hide the heterogeneity of the services and APIs, allowing, to varying degrees, portability between providers. These tools remove technical barriers to switching providers, but they do not provide a...
Hiring workers under seasonal recruiting contracts causes significant variation of workers skills in the vineyards. This leads to inconsistent workers performance, reduction in harvesting efficiency, and increasing in grape losses rates. The objective of this research is to investigate how the variation in workers experience could impact vineyard harvesting productivity and operational cost. The complexity...
Despite attractiveness of multicore processors for embedded systems, the potential performance gains need to be studied in the context of real-time task scheduling and memory interference. This paper explores performance-aware schedula-bility of multicore systems by evaluating the performance when changing scheduling policies (as design parameters). The modelbased framework we build enables analyzing...
Nowadays the uncertainties produced by the combined effect of PVT Variations together with radiation dramatically compromises electronic systems behavior. Usually, radiation effects are studied from a digital point of view, analyzing upset error ratios and their consequences. In this work we redefine the analysis methodology of combined effects of multiple error sources that may affect analog circuits...
The development of database systems and applications requires the use of metrics to evaluate the quality and the efficiency of each phase, especially as regards the physical phase, where logical, physical and hardware optimizations are mainly used. Since the 1980s, a large range of cost models has been proposed. Each cost model is dedicated to the calculation of specific metrics and mainly pertains...
This paper proposes a new semi-supervised clustering framework to represent and integrate quantitative preferences on attributes. A new metric learning algorithm is derived that achieves a compromise clustering between a data-driven and a user-driven solution and converges with a good complexity. We observe experimentally that the addition of preferences may be essential to achieve a better clustering...
Through defining the influence factor adjusting the percentage of two parameters and the weight parameter adjusting the heterogenous degree of network, the proposed tunable edge weight model is in accordance with the weights of many real networks. Parameter values of tunable edge weight model are achieved when the ability against failure spreading of networks reaches the maximum through numerical...
Static analysis tools are widely used in practice to improve the quality and reliability of software through early detection of defects. However, the number of alarms generated is a major concern because of the cost incurred in their manual inspection required to partition them into true errors and false positives. In this paper, we propose a static analysis to identify the causes of alarms generated...
Performance represents the completion of activities, programs, or policies to achieve the objectives, visions, and missions of organizations. The National Library of Indonesia is a government organization which provides public services. To improve its functions, the National Library established Electronic Library (E-Library) toward Information and Communication Technology (ICT) infrastructure aspect...
Quantitative description and complexity understanding of software architecture are difficult questions of software development. Taking The complexity evolution of VTK software version as an example, this paper proposes a model for predicting the complexity of software evolution based on logistic equation and quantitative validation of Lehman's law. Its basic idea is that the software architecture...
In this paper we propose a methodology to build a dashboard for hospital medicines supply chain. This methodology, which we have called OPRI, is based on SCOR Model and ARIS and risk analysis.
Performance variation is a significant problem forlarge scale HPC systems and will increase on future exascalesystems. In this work, we show that performance variationimpacts the performance and energy efficiency of contemporarylarge-scale computing systems in highly temporally inconsistentways. We thus present a case for criticality models, a learningbased mechanism that allows a system to generate...
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