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Sustainable IT Budgeting: A Method to Determine Not to Exceed Values for Annual Infrastructure Purchases

机译:可持续的IT预算:一种确定年度基础设施采购不超过其价值的方法

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摘要

Picture-archiving and communication systems are complex entities, but at core they consist of compute processors that are networked together to store and retrieve objects. Therein lay fundamental aspects of both performance benchmarking and predicting future costs, provided one can accurately predict trends in both exam volumes and sizes. Hence, determining the correct amount of capital to reserve annually for the information technology infrastructure can be a difficult process for the administrator of a medical center. Both exam volumes and sizes tend to increase over time. In addition, users demand more compute-intensive applications and expect exam delivery to the desktop to be ever timelier despite the increase in size. Against this, storage, compute, and networking costs tend to decrease over time for the same performance level. At the end of the day, the question of whether to budget more or less capital for next year’s infrastructure is not trivial. This paper develops a methodology that uses current baseline data to predict the “ampleness” of a budget to meet future needs.
机译:图片存档和通信系统是复杂的实体,但是从根本上讲,它们由网络连接在一起以存储和检索对象的计算处理器组成。只要能准确预测考试数量和规模的趋势,就可以构成性能基准测试和预测未来成本的基本方面。因此,对于医疗中心的管理者而言,确定每年为信息技术基础设施储备的正确资本量可能是一个困难的过程。考试的数量和规模都倾向于随着时间而增加。此外,尽管尺寸增加,但用户需要更多的计算密集型应用程序,并且希望将考试交付到桌面的时间更加及时。与此相对,对于相同的性能水平,存储,计算和网络成本会随着时间的流逝而降低。归根结底,是否要为明年的基础设施预算增加或减少资本的问题并非易事。本文开发了一种方法,该方法使用当前的基准数据来预测预算的“数量”,以满足未来的需求。

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