期刊名称：Bulletin of the Technical Committee on Data Engineering
出版年度：2014
卷号：37
期号：3
出版社：IEEE Computer Society
摘要：Cumulon is a system aimed at simplifying the development and deployment of statistical analysisof big data on public clouds. Cumulon allows users to program in their familiar language of matri-ces and linear algebra, without worrying about how to map data and computation to specific hardwareand software platforms. Given user-specified requirements in terms of time, money, and risk tolerance,Cumulon finds the optimal implementation alternatives, execution parameters, as well as hardware pro-visioning and configuration settings—such as what type of machines and how many of them to acquire.Cumulon also supports clouds with auction-based markets: it effectively utilizes computing resourceswhose availability varies according to market conditions, and suggests best bidding strategies for suchresources. This paper presents an overview of Cumulon and the challenges encountered in building thissystem
