319 research outputs found

    A STUDY ON CLOUD COMPUTING EFFICIENT JOB SCHEDULING ALGORITHMS

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    cloud computing is a general term used to depict another class of system based computing that happens over the web. The essential advantage of moving to Clouds is application versatility. Cloud computing is extremely advantageous for the application which are sharing their resources on various hubs. Scheduling the errand is a significant testing in cloud condition. Typically undertakings are planned by client prerequisites. New scheduling techniques should be proposed to defeat the issues proposed by organize properties amongst client and resources. New scheduling systems may utilize a portion of the customary scheduling ideas to consolidate them with some system mindful procedures to give answers for better and more effective employment scheduling. Scheduling technique is the key innovation in cloud computing. This paper gives the study on scheduling calculations. There working regarding the resource sharing. We systemize the scheduling issue in cloud computing, and present a cloud scheduling pecking order

    Entropic Lattice Boltzmann Simulation of the Flow Past Square Cylinder

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    Minimal Boltzmann kinetic models, such as lattice Boltzmann, are often used as an alternative to the discretization of the Navier-Stokes equations for hydrodynamic simulations. Recently, it was argued that modeling sub-grid scale phenomena at the kinetic level might provide an efficient tool for large scale simulations. Indeed, a particular variant of this approach, known as the entropic lattice Boltzmann method (ELBM), has shown that an efficient coarse-grained simulation of decaying turbulence is possible using these approaches. The present work investigates the efficiency of the entropic lattice Boltzmann in describing flows of engineering interest. In order to do so, we have chosen the flow past a square cylinder, which is a simple model of such flows. We will show that ELBM can quantitatively capture the variation of vortex shedding frequency as a function of Reynolds number in the low as well as the high Reynolds number regime, without any need for explicit sub-grid scale modeling. This extends the previous studies for this set-up, where experimental behavior ranging from ReO(10)Re\sim O(10) to Re1000Re\leq 1000 were predicted by a single simulation algorithm.Comment: 12 pages, 5 figures, to appear in Int. J. Mod. Phys.

    Applications of raman spectroscopy in dentistry part II: Soft tissue analysis

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    Raman spectroscopy is rapidly moving from an experimental technique for the analysis of biological molecules to a tool for the real-time clinical diagnosis and in situ evaluation of the oral tissue in medical and dental research. The purpose of this study is to identify various applications of Raman spectroscopy, to evaluate the contemporary status and to explore future directions in the field of dentistry. Several in-depth applications are presented to illustrate Raman spectroscopy in early diagnosis of soft tissue abnormalities. Raman spectroscopy allows to analyze histological and biochemical composition of biological tissues. The technique not only demonstrates its role in the disclosure of dysplasia and malignancy but also in performing guided biopsies, diagnosing sialoliths, and assessment of surgical margins. Raman spectroscopy is used to identify the molecular structures and its components to give substantial information about the chemical structure properties of these molecules. In this paper, we acquaint the utilization of Raman spectroscopy in analyzing the soft tissues in relation to dentistry

    Pecking order theory versus trade-off theory : are service SMEs’ capital structure decisions different?

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    This paper seeks to analyse if the capital structure decisions of service small and medium-sized enterprises (SMEs) are different from those of other types of firm. To do so, we consider four research samples: (i) 610 service SMEs; (ii) 126 service large firms; (iii) 679 manufacturing and construction SMEs; and (iv) 132 manufacturing and construction large firms. Using the two-step estimation method, the empirical evidence obtained in this study shows that the capital structure decisions of service SMEs are different from those of other types of firm. Service SMEs’ capital structure decisions are closer to the assumptions of Pecking Order Theory and further removed from those of Trade-Off Theory compared with the case of other types of firm

    Choice of Financing Mode as a Stochastic Bounded Control Problem

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    In this note I analyze situations where an entrepreneur needs external financing from an outside investor in order to start an investment project that will yield a profit for two consecutive periods. The value of second-period profit is the entrepreneur's private information. I show that the choice of financing mode can be transformed into an optimal stochastic bounded control problem, where the state variable t represents the investor's first-period payoff and the control variable α can be interpreted in terms of the investor's residual profit rights. I then show that under certain general conditions such as the monotonicity and continuity of t (which have clear economic interpretations), an optimal contract is characterized by maximal α under low values of t and minimal α under high values of t. In economic terms this corresponds to debt

    Determinants of Capital Structure in Non-Financial Companies

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    In this paper, we evaluate firm-, industry- and country-specific factors determining a firm’s capital structure. The empirical validity of several capital structure theories has been ambiguous so far. We shed light on the main drivers of leverage and depict differences in industry and country characteristics. Using a short panel data set with a large cross-section, we are able to show that firm size, industry leverage, industry growth and tax shield positively affect leverage ratios, while profitability and liquidity have negative impacts. Moreover, our model is an improvement over Rajan and Zingales’ (1995) four-factor core model in terms of explaining data variation. The results are robust against different panel estimators, decompositions and over time

    A bibliography of parasites and diseases of marine and freshwater fishes of India

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    With the increasing demand for fish as human food, aquaculture both in freshwater and salt water is rapidly developing over the world. In the developing countries, fishes are being raised as food. In many countries fish farming is a very important economic activity. The most recent branch, mariculture, has shown advances in raising fishes in brackish, estuarine and bay waters, in which marine, anadromous and catadromous fishes have successfully been grown and maintained
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