On Developing and Operating of Data Elasticity Management Process
On Developing and Operating of Data Elasticity Management Process
复制标题
浅谈数据弹性管理流程的开发与运营
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
S. Dustdar
中科院分区：
文献类型：
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作者：
Tien;Hong Linh Truong;G. Copil;Duc;D. Moldovan;S. Dustdar
数据即服务(DaaS)模式使数据分析提供商能够向其消费者提供和提供数据资产。为了实现数据资产的结果质量，我们需要通过权衡资源使用的质量和成本来实现DaaS弹性。然而，目前有关DaaS的大部分工作都集中在基础设施弹性上，例如根据性能和使用情况扩展/扩展数据节点和虚拟机，而没有考虑数据资产的结果质量。在本文中，我们介绍了一种弹性数据资产模型，用于提供具有丰富结果质量的数据。基于该模型，我们提出了生成和运行数据弹性管理过程的技术，该过程用于监控、评估和执行预期结果质量。我们开发了一个运行时系统，以保证按需提供的结果数据资产的质量。我们提供了几个实验来证明我们所提出的技术的有效性。
The Data-as-a-Service (DaaS) model enables data analytics providers to provision and offer data assets to their consumers. To achieve quality of results for the data assets, we need to enable DaaS elasticity by trading off quality and cost of resource usage. However, most of the current work on DaaS is focused on infrastructure elasticity, such as scaling in/out data nodes and virtual machines based on performance and usage, without considering the data assets’ quality of results. In this paper, we introduce an elastic data asset model for provisioning data enriched with quality of results. Based on this model, we present techniques to generate and operate data elasticity management process that is used to monitor, evaluate and enforce expected quality of results. We develop a runtime system to guarantee the quality of resulting data assets provisioned on-demand. We present several experiments to demonstrate the usefulness of our proposed techniques.