Palette: Enabling Scalable Analytics for Big-Memory, Multicore Machines

Hadoop and its variants have been widely used for processing large scale analytics tasks in a cluster environment. However, use of a commodity cluster for analytics tasks needs to be reconsidered based on two key observations: in recent years, large memory, multicore machines have become more affordable; and recent studies show that most analytics tasks in practice are smaller than 100 GB. Thus, replacing a commodity cluster with a large memory, multicore machine can enable in-memory analytics at an affordable cost. However, programming on a big-memory, multicore machine is a challenge.

Provided by: Association for Computing Machinery Topic: Storage Date Added: Apr 2014 Format: PDF

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