Browse Dept. of Computer Science by Subject "MapReduce"
Now showing items 1-5 of 5
(2010-01-19)The MapReduce model uses a barrier between the Map and Reduce stages. This provides simplicity in both programming and implementation. However, in many situations, this barrier hurts performance because it is overly ...
Improving the end-to-end latency of datacenter applications using coordination across application components (2015-07-14)To handle millions of user requests every second and process hundreds of terabytes of data each day, many organizations have turned to large datacenter-scale computing systems. The applications running in these datacenters ...
(2013-02-03)Several companies are increasingly using MapReduce for efficient large scale data processing such as personalized advertising, spam detection, and data mining tasks. There is a growing need among MapReduce users to achieve ...
(2015-04-03)Traffic for a typical MapReduce job in a datacenter consists of multiple network flows. Traditionally, network resources have been allocated to optimize network-level metrics such as flow completion time or throughput. ...
(2010-08-20)Data-intensive computing has emerged as a key player for processing large volumes of data exploiting massive parallelism. Data-intensive computing frameworks have shown that terabytes and petabytes of data can be routinely ...