| 查看: 1079 | 回复: 9 | ||
| 【奖励】 本帖被评价1次，作者yj222增加金币 0.5 个 | ||
| 当前主题已经存档。 | ||
[资源]
【转贴】 GOOGLE强大的搜索功能揭密【已搜无重复】
|
||
|
PDF格式： 以下是该文中所介绍核心算法的摘要： ABSTRACT MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key. Many real world tasks are expressible in this model, as shown in the paper. Programs written in this functional style are automatically parallelized and executed on a large cluster of commodity machines. The run-time system takes care of the details of partitioning the input data, scheduling the program's execution across a set of machines, handling machine failures, and managing the required inter-machine communication. This allows programmers without any experience with parallel and distributed systems to easily utilize the resources of a large distributed system. Our implementation of MapReduce runs on a large cluster of commodity machines and is highly scalable: a typical MapReduce computation processes many terabytes of data on thousands of machines. Programmers nd the system easy to use: hundreds of MapReduce programs have been implemented and upwards of one thousand MapReduce jobs are executed on Google's clusters every day. [ Last edited by 幻影无痕 on 2007-8-9 at 14:02 ] |
回复此楼» 猜你喜欢
售SCI一区T0P文章，我:8O.55.1.O.54,科目全,可伽急
已经有4人回复
-
售SCI-T0P文章，我:8O.5.5.1.O.54,科目齐全,可+急
已经有5人回复
-
售SCI一区T0P文章，我:8.O.55.1.O.54,科目齐全,可+急
已经有4人回复
-
售SCI文章，我:8O.5.5.1O.54,科目全,可十急
已经有5人回复
-
售SCI文章，我:8O5.5.1.O.54,科目齐全,可+急
已经有7人回复
-
售SCI一区T0P文章，我:8O.55.1.O.54,科目全,可伽急
已经有7人回复
-
售SCI文章，我:8O.5.5.1O.54,科目全,可十急
已经有7人回复
-
售SCI一区T0P文章，我:8.O.55.1.O.54,科目齐全,可+急
已经有6人回复
-
售SCI文章，我:8O5.5.1.O.54,科目齐全,可+急
已经有8人回复
-
售SCI一区T0P文章，我:8.O.55.1.O54,科目全,可伽急
已经有10人回复
2楼2007-05-17 21:09:13
3楼2007-08-10 10:35:40
4楼2007-10-14 14:40:43
投票:
