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Towards a Self-Adaptive Data Management System for Cloud Environments

机译:迈向云环境的自适应数据管理系统

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Recently, important academic and industrial actors, such as Google, Amazon or Yahoo!, have started to investigate Cloud computing, an emerging paradigm for managing computing resources. Various Cloud computing infrastructure platforms have been proposed as alternatives for clusters or grids, which are the typical infrastructures for large-scale distributed applications. This kind of applications are usually critical in various fields like high-energy physics, climate modeling or bio-informatics. As data volumes generated and processed by these applications increase, a key requirement that directly impacts the adoption rate of the Cloud paradigm is efficient and reliable data management.
机译:最近,重要的学术和工业行动者,如谷歌,亚马逊或雅虎!已经开始调查云计算,这是一个用于管理计算资源的新兴范式。已经提出了各种云计算基础架构平台作为集群或网格的替代方案,这是大规模分布式应用程序的典型基础架构。这种应用通常在高能物理,气候建模或生物信息等各种领域中至关重要。随着这些应用程序生成和处理的数据量增加,直接影响云范例的采用率的关键要求是有效可靠的数据管理。

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