google的大规模图形处理引擎 Pregel的论文 In this paper we present a computational model suitable for this task. Programs are expressed as a sequence of iterations, in each of which a vertex can receive messages sent in the previous iteration, send messages to oth
Many practical computing problems concern large graphs. Standard examples include the Web graph and various social networks. The scale of these graphs—in some cases billions of vertices, trillions of edges—poses challenges to their efficient process
6个pdf，Google官方发布的。 [1]Bigtable: A Distributed Storage System for Structured Data [2]MapReduce: Simplified Data Processing on Large Clusters [3]The Google File System [4]Large-scale Incremental Processing Using Distributed Transactions and Notificati
Colossus Papers: spanner, Pregel, Dremel, Caffeine. A second generation of google file system and large-scale distributed computing patforms and database
