Compressing Intermediate Keys between Mappers and Reducers in SciHadoop. Abstract: In Hadoop mappers send data to reducers in the form of key/value pairs.

Abstract—In Hadoop mappers send data to reducers in the form of key/value pairs. The default design of Hadoop's pro- cess for transmitting this intermediate ...

Generic compression methods such as GZIP rely on repeating se- quences of bytes. A stream of keys generated by walking a grid in.

Here we show preliminary designs of multiple lossless approaches to compressing intermediate data, one of which results in up to five orders of magnitude ...

2015/05/06 · Here we show preliminary designs of multiple lossless approaches to compressing intermediate data, one of which results in up to five orders of ...

Compressing intermediate keys between mappers and reducers in scihadoop. A Crume, J Buck, C Maltzahn, S Brandt. 2012 SC Companion: High Performance Computing ...

Compressing intermediate keys between mappers and reducers in scihadoop. A Crume, J Buck, C Maltzahn, S Brandt. 2012 SC Companion: High Performance Computing ...

2024/04/25 · Compressing Intermediate Keys between Mappers and Reducers in SciHadoop. SC Companion 2012: 7-12; 2011. [c1]. view. electronic edition via DOI ...

Compressing Intermediate Keys between Mappers and Reducers in SciHadoop · In Hadoop mappers send data to reducers in the form of key/value pairs. The default ...

Compressing intermediate keys between mappers and reducers in scihadoop. A Crume, J Buck, C Maltzahn, S Brandt. 2012 SC Companion: High Performance Computing ...