Malstone: towards a benchmark for analytics on large data clouds

Authors:
Collin Bennett;Robert L. Grossman;David Locke;Jonathan Seidman;Steve Vejcik
Affiliations:
Open Data Group, River Forest , IL, USA;Open Data Group, River Forest, IL, USA;Open Data Group, River Forest, IL, USA;Open Data Group, River Forest, IL, USA;Open Data Group, River Forest, IL, USA
Venue:
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Year:
2010

Citing 5
Cited 2

The Google file system

SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
MapReduce: simplified data processing on large clusters

OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Bigtable: a distributed storage system for structured data

OSDI '06 Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation - Volume 7
The ghost in the browser analysis of web-based malware

HotBots'07 Proceedings of the first conference on First Workshop on Hot Topics in Understanding Botnets
MapReduce: simplified data processing on large clusters

Communications of the ACM - 50th anniversary issue: 1958 - 2008

How consistent is your cloud application?

Proceedings of the Third ACM Symposium on Cloud Computing
Assessing computer performance with stocs

Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Developing data mining algorithms that are suitable for cloud computing platforms is currently an active area of research, as is developing cloud computing platforms appropriate for data mining. Currently, the most common benchmark for cloud computing is the Terasort (and related) benchmarks. Although the Terasort Benchmark is quite useful, it was not designed for data mining per se. In this paper, we introduce a benchmark called MalStone that is specifically designed to measure the performance of cloud computing middleware that supports the type of data intensive computing common when building data mining models. We also introduce MalGen, which is a utility for generating data on clouds that can be used with MalStone.