1,720,983 research outputs found

    Global Crisis and Financial Distress Likelihood of SMEs

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    In the aftermath of the global financial crisis, this chapter sheds light on the determinants of the financial distress costs between Italian and German small and medium enterprises (SMEs). The authors propose an innovative formulation of the expected costs originated by financial distress expressed as the product of the expected financial distress likelihood times the total amount of the financial distress costs if insolvency does occur. The model is estimated using panel data methodology on samples from two European countries (Italy and Germany). The results indicate that the amount of ex-post costs depends on derivative financial instruments, intangible assets, and relation with local banks (small local banks rather than large banking groups).</jats:p

    Understanding 'workload-related' metrics for energy efficiency in Data Center

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    The measurement of Data Center (DC) energy efficiency is a complicated problem, which depends on its architecture, workload and the environmental conditions, and its estimation has attracted a lot of research. Recently, several metrics were proposed to calculate the energy efficiency in DCs. However, none of the currently proposed metrics provides a direct measure of the useful work in a DC. To this end, this work aims to characterise the energy consumed by different types of server workloads to advance current understanding on the calculation of useful work within a DC. In detail, several measurements of the energy consumption employing different workload configurations were performed to understand the behaviour of energy consumption by each workload category. Workloads were simulated using benchmarks that can provide a preliminary assessment of the workload-related metrics. The Input/Output Operation Per Second (IOPS) parameter, which is a standard performance measurement, was employed in the present analysis. In this paper, the proposed procedure has evaluated in experimental campaigns on the ENEA-C.R. Portici facilities. © 2016 IEEE

    An HPC-data center case study on the power consumption of workload

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    With the increasing popularity of Data Center (DCs), the energy efficiency issue is becoming more important than before. Due to their complex nature, the analysis and in particular the measurement of DCs’ energy efficiency is articulated and open issue. Therefore, the analysis of energy efficiency in DCs, through a set of globally accepted metrics, is an ongoing challenge. In particular, the area of productivity metrics is not complete explored and existing proposed metrics none provides a direct measure of the useful work in a DC. To this end, this paper study and analyses the relationship between the power consumption by server’ workload and the relative number of cores used. In details, through the ENEA-HPC’DC facility, we analyse the real data collected during one year to understand the link between workload’ power consumption and cores. In this way, we present to advance beyond the state of the art of the productivity metrics, and in the meantime, a step forward regarding server performance and power management since through the statistical data analysis provides the behaviour of server energy consumption. © Springer International Publishing AG, part of Springer Nature 2019

    Il ruolo delle banche locali e del relationship lending in scenari economici in profondo cambiamento

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    Lo scopo di questo lavoro è quello di esaminare la relazione tra banca locale e impresa in un contesto economico in profondo cambiamento. L’obiettivo è comprendere se e come l’orientamento all’attività di finanziamento delle banche locali (più radicate nel territorio e più vicine ai principi del relationship lending) sia cambiato in seguito allo scoppio della crisi finanziaria

    An Example of Methodology to Assess Energy Efficiency Improvements in Datacenters

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    Data centers (DCs) consume large amounts of electricity, of which there is an increasing shortage at escalating prices. Fortunately, new technologies and research developed by many organizations have resulted in new products, architectures and best practices that create significant savings. However, in Europe there is a lack of a complete normative plan which provides standard metrics and methodologies for DCs and, more generally, for energy efficiency in the ICT sector. Evaluation of DCs should be based on globally accepted assessment systems in terms of policies that promote the improvement of energy efficiency, renovation and improvement of infrastructures, management methods and so on. To this end, the present paper presents a procedure aimed at evaluating and checking the energy saving in DCs obtained as a result of replacement of "elements" with more energy efficient ones. The procedure presented, starting from an evaluation of DCs's energy baseline, provides a method for measurement and comparison of energy consumption before and after a significant improvement in a DC, in order to evaluate analytically the energy saving. The methodology was developed in the framework of the definition of a policy for the set-up of a mechanism of public incentives to foster the adoption of energy efficient solutions in DCs. © 2013 IEEE

    A low cost induction motor drive based on the passivity theory approach

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    In this paper a new low cost induction motor drive for high performance applications is proposed. The system employs only one microcontroller and achieves both torque and speed regulation. The control system is based on the passivity theory and computes the reference torque, rotor angle and speed according to a reference speed signal, without any information about rotor quantities and load torque. In order to demonstrate the effectiveness of the proposed system, experimental results and discussion are presente
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