30,789 research outputs found

    Global Grids and Software Toolkits: A Study of Four Grid Middleware Technologies

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    Grid is an infrastructure that involves the integrated and collaborative use of computers, networks, databases and scientific instruments owned and managed by multiple organizations. Grid applications often involve large amounts of data and/or computing resources that require secure resource sharing across organizational boundaries. This makes Grid application management and deployment a complex undertaking. Grid middlewares provide users with seamless computing ability and uniform access to resources in the heterogeneous Grid environment. Several software toolkits and systems have been developed, most of which are results of academic research projects, all over the world. This chapter will focus on four of these middlewares--UNICORE, Globus, Legion and Gridbus. It also presents our implementation of a resource broker for UNICORE as this functionality was not supported in it. A comparison of these systems on the basis of the architecture, implementation model and several other features is included.Comment: 19 pages, 10 figure

    Multiobjective strategies for New Product Development in the pharmaceutical industry

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    New Product Development (NPD) constitutes a challenging problem in the pharmaceutical industry, due to the characteristics of the development pipeline. Formally, the NPD problem can be stated as follows: select a set of R&D projects from a pool of candidate projects in order to satisfy several criteria (economic profitability, time to market) while coping with the uncertain nature of the projects. More precisely, the recurrent key issues are to determine the projects to develop once target molecules have been identified, their order and the level of resources to assign. In this context, the proposed approach combines discrete event stochastic simulation (Monte Carlo approach) with multiobjective genetic algorithms (NSGAII type, Non-Sorted Genetic Algorithm II) to optimize the highly combinatorial portfolio management problem. In that context, Genetic Algorithms (GAs) are particularly attractive for treating this kind of problem, due to their ability to directly lead to the so-called Pareto front and to account for the combinatorial aspect. This work is illustrated with a study case involving nine interdependent new product candidates targeting three diseases. An analysis is performed for this test bench on the different pairs of criteria both for the bi- and tricriteria optimization: large portfolios cause resource queues and delays time to launch and are eliminated by the bi- and tricriteria optimization strategy. The optimization strategy is thus interesting to detect the sequence candidates. Time is an important criterion to consider simultaneously with NPV and risk criteria. The order in which drugs are released in the pipeline is of great importance as with scheduling problems

    Multiobjective strategies for New Product Development in the pharmaceutical industry

    Get PDF
    New Product Development (NPD) constitutes a challenging problem in the pharmaceutical industry, due to the characteristics of the development pipeline. Formally, the NPD problem can be stated as follows: select a set of R&D projects from a pool of candidate projects in order to satisfy several criteria (economic profitability, time to market) while coping with the uncertain nature of the projects. More precisely, the recurrent key issues are to determine the projects to develop once target molecules have been identified, their order and the level of resources to assign. In this context, the proposed approach combines discrete event stochastic simulation (Monte Carlo approach) with multiobjective genetic algorithms (NSGAII type, Non-Sorted Genetic Algorithm II) to optimize the highly combinatorial portfolio management problem. In that context, Genetic Algorithms (GAs) are particularly attractive for treating this kind of problem, due to their ability to directly lead to the so-called Pareto front and to account for the combinatorial aspect. This work is illustrated with a study case involving nine interdependent new product candidates targeting three diseases. An analysis is performed for this test bench on the different pairs of criteria both for the bi- and tricriteria optimization: large portfolios cause resource queues and delays time to launch and are eliminated by the bi- and tricriteria optimization strategy. The optimization strategy is thus interesting to detect the sequence candidates. Time is an important criterion to consider simultaneously with NPV and risk criteria. The order in which drugs are released in the pipeline is of great importance as with scheduling problems

    Water and Development: An Evaluation of World Bank Support, 1997-2007, Volume 1

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    The Independent Evaluation Group at the World Bank has evaluated a decade of the Bank's water lending and grants in terms of overall shifts in the water portfolio and project performance, as well as successes and failures in addressing water resource management, environment, water use and service delivery, and institutions and water. The Bank increased its lending for water during the period and has generally seen improvements in project performance; however, IWRM has made limited progress in client countries, environmental restoration has been underemphasized by the Bank, sanitation needs much greater attention, and support for institutional reform and capacity building has had limited success

    Auditing IT Governance

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    Effective IT governance helps ensure that IT supports business goals, optimizes business investment in IT, and appropriately manages IT-related risks and opportunities. Organizations that realize the IT is no longer a support process and embeds value and risks need a structured approach for better managing Information Technology, enable its capability to deliver added value enterprise wide and for setting up a risk management program to address new risks arising for usage of IT in business processes. In order to assess if IT Governance is in line with industry practices, IT Auditors need a good understanding of processes and applicable standards, particular audit work programs and experience in assessing potential problem indicators.IT Governance, Audit, ISACA, CGEIT, Val IT, Value Governance, Portfolio Management, Investment Management

    Design Mechanism as Territorial Strategic Capability

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    The current exigencies that a territory must faced in order to its’ optimal positioning in future regional competition requires the ability to design the appropriate mechanism which better valorize the territory capability. Such a construct is vital for territorial sustainable development and supposes the creation of a specific body of knowledge from distinctive local resource exploitation and unique value creation and allocation. Territorial mechanism design is a typical management decision about identification, ownership and control of specific strategic capabilities and their combination in a distinctive territorial portfolio. The most difficult responsibility is to allocate the territorial value added which is a source of conflict among territorial components. Our current paper research covers the basics of two complementary territorial pillars-rural and tourism potential and proves the lack of specific design mechanisms which explain the current diminishing value of Galati Braila region. The proposed management system, relying upon territorial control mechanism, will ensure knowledge sharing process via collaborative learning, with the final role of appropriate territorial attractivity signals, reinforcing identity as key factor of territorial attractability. Our paper is fully documented on there years of data analyzing from territorial area of interest. This offers us the necessary empiric contrasting for our proposed solution.territorial disruptive typicity, coordination design mechanism, sustainable development, collaborative learning, territorial change

    Managing biodiversity correctly - Efficient portfolio management as an effective way of protecting species

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    Loss of biodiversity is regarded as one of the key problems affecting the environment. In order to demonstrate the significance of biodiversity, the value of individual species or ecosystems today is generally determined in science and practice. The underlying thought is that a species or ecosystem is worthy of being conserved provided its value exceeds the benefit of its loss. This is, at first glance, a rational line of thought typical of economists. As this study shows, however, this way of looking at the situation is inadequate. Biodiversity, rather like a share portfolio or a portfolio of insurance risks, is concerned with a portfolio of different genes, species or ecosystems. The finding from portfolio theory that in portfolios returns are additive whereas risks diversify and that well managed portfolios frequently also contain securities which, viewed in isolation, appear to hold little attraction, is now generally acknowledged in the management of securities. Portfolio theory is not currently brought into discussions on biodiversity issues, and that is regrettable. The way in which biodiversity is generally viewed at present lags more than fifty years behind securities management. This study shows how portfolio managers would look at and manage biodiversity. Probably the most surprising and provocative finding is that it may be assumed that portfolio managers would conserve more species than appears appropriate from the way the situation is usually viewed at present.Biodiversity, Portfolio Theory, Portfolio Management, Diversification, Asset Management

    Optimal Investment in the Development of Oil and Gas Field

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    Let an oil and gas field consists of clusters in each of which an investor can launch at most one project. During the implementation of a particular project, all characteristics are known, including annual production volumes, necessary investment volumes, and profit. The total amount of investments that the investor spends on developing the field during the entire planning period we know. It is required to determine which projects to implement in each cluster so that, within the total amount of investments, the profit for the entire planning period is maximum. The problem under consideration is NP-hard. However, it is solved by dynamic programming with pseudopolynomial time complexity. Nevertheless, in practice, there are additional constraints that do not allow solving the problem with acceptable accuracy at a reasonable time. Such restrictions, in particular, are annual production volumes. In this paper, we considered only the upper constraints that are dictated by the pipeline capacity. For the investment optimization problem with such additional restrictions, we obtain qualitative results, propose an approximate algorithm, and investigate its properties. Based on the results of a numerical experiment, we conclude that the developed algorithm builds a solution close (in terms of the objective function) to the optimal one
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