摘要

The Workshop on Big Data Management in Clouds was created to provide a platform for the dissemination of recent research efforts that explicitly aim at addressing the challenges related to executing Big Data applications on the cloud. Initially designed for powerful and expensive supercomputers, such applications have seen an increasing adoption on clouds, exploiting their elasticity and economical model. While Map/Reduce covers a large fraction of the development space, there are still many applications that are better served by other models and systems. In such a context, we need to embrace new programming models, scheduling schemes, and hybrid infrastructures and scale out of single datacenters to geographically distributed deployments in order to cope with these new challenges effectively.
机译:创建云中大数据管理研讨会的目的是为传播最近的研究成果提供一个平台,这些研究工作明确旨在解决与在云上执行大数据应用程序有关的挑战。最初是为功能强大且昂贵的超级计算机设计的,此类应用利用其弹性和经济的模型已在云中得到越来越多的采用。尽管Map / Reduce覆盖了很大一部分开发空间,但仍有许多其他模型和系统可以更好地服务于这些应用程序。在这种情况下,我们需要采用新的编程模型,调度方案和混合基础架构,并从单个数据中心扩展到地理上分散的部署,以便有效应对这些新挑战。

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