The Case for Predictive Database Systems: Opportunities and Challenges
The Case for Predictive Database Systems: Opportunities and Challenges
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发表时间：
2011
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通讯作者：
M. Akdere;U. Çetintemel;Matteo Riondato;E. Upfal;S. Zdonik
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作者：
M. Akdere;U. Çetintemel;Matteo Riondato;E. Upfal;S. Zdonik
本文认为，下一代数据库管理系统应包含一个预测模型管理组件，以有效支持内部应用（如自我管理）和面向用户的应用（如数据驱动的预测分析）。我们在模型管理和数据管理功能之间进行类比，并讨论模型管理如何利用分析、物理设计和查询优化技术以及相关挑战。然后，我们描述了Longview的早期设计和架构，这是我们在布朗大学正在构建的一个预测性数据库管理系统原型，同时还包括一个关于如何使用模型预测查询执行性能的案例研究。
This paper argues that next generation database management systems should incorporate a predictive model management component to effectively support both inward-facing applications, such as self management, and user-facing applications such as data-driven predictive analytics. We draw an analogy between model management and data management functionality and discuss how model management can leverage profiling, physical design and query optimization techniques, as well as the pertinent challenges. We then describe the early design and architecture of Longview, a predictive DBMS prototype that we are building at Brown, along with a case study of how models can be used to predict query execution performance.