文件名称：Optimizing Data Partitioning for Data-Parallel Computing.pdf
文件大小：600KB
文件格式：PDF
更新时间：2022-09-18 10:13:56
Opyimizing Data Partitionin
Performance of data-parallel computing (e.g., MapReduce, DryadLINQ) heavily depends on its data partitions. Solutions implemented by the current state of the art systems are far from optimal. Techniques proposed by the database community to find optimal data partitions are not directly applicable when complex user-defined functions and data models are involved. We outline our solution, which draws expertise from various fields such as programming languages and optimization, and present our preliminary results.