從系統角度審視大數據計算
鄭緯民
清華大學計算機科學與技術系 北京 100084

摘要：大數據計算是實現大數據“巨大價值”的必要手段，而計算系統是大數據計算的有效載體。試著從系統角度審視大數據計算，透過大數據的體量巨大、速度極快、模態多樣、真偽難辨等宏觀特征，針對批量計算、流式計算、大圖計算等計算形式，分別探討大數據計算的典型特征，論述了這些特征給大數據計算系統的設計與實現帶來的技術挑戰，進而梳理了為了應對這些挑戰所取得的研究成果，最后從系統角度指出未來大數據計算可能的一些研究方向。
關鍵詞：大數據計算；批量計算；流式計算；大圖計算；系統實例

Reviewing Big Data Computation from a System
Perspective
Zheng Weimin
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China

Abstract： Big data computing is a necessary way to acquire the “great value” behind the big data, and a computing system is an effective
tool for big data computing. Big data computing from a system perspective was reviewed. Based on the fact that big data has the macro characteristics of huge volume, growing fast, complex structure, and quality disparity, the typical features of big data computing by analyzing batch computing, stream computing, and graph computing respectively, were discussed. These features may bring technical challenges to the design and implementation of big data computing system. The related works for overcoming these challenges were further categoried. In the end, some prospective research directions of big data computing from the system perspective were listed.
Key words： big data computing, batch computing, stream computing, graph computing, system instance

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