A CLOUD COMPUTING PLATFORM FOR LARGE-SCALE FORENSIC COMPUTING

被引：0

作者：

Roussev, Vassil ^{[1
]}

Wang, Liqiang ^{[1
]}

Richard, Golden ^{[1
]}

Marziale, Lodovico ^{[1
]}

机构：

[1] Univ New Orleans, New Orleans, LA 70148 USA

来源：

ADVANCES IN DIGITAL FORENSICS V | 2009年 / 306卷

关键词：

Cluster computing; large-scale forensics; MapReduce;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The timely processing of massive digital forensic collections demands the use of large-scale distributed computing resources and the flexibility to customize the processing performed on the collections. This paper describes MPI Map Reduce (MMR), an open implementation of the Map Reduce processing model that outperforms traditional forensic computing techniques. MMR provides linear scaling for CPU-intensive processing and super-linear scaling for indexing-related workloads.

引用

页码：201 / 214

页数：14

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