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Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Matthew Hubbell, Jeremy Kepner, Andrew McCabe, Peter Michaleas, Julie Mullen, David O’Gwynn, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee
2012 IEEE High Performance Extreme Computing Conference
10 - 12 September 2012
Driving Big Data With Big Compute
This work is sponsored by the Department of the Air Force under Air Force contract FA8721-05-C-0002. Opinions, interpretations, conclusions and recommendations are those of the author and are not necessarily endorsed by the United States Government.
Introduction
LLGrid MapReduce
Dynamic Distributed Dimensional Data Model (D4M)
Demonstration
Data Ingestion Performance
Database Query Performance
Summary
Outline
The Big Four Cloud Ecosystems
Enterprise
Big Data
DBMS
Supercomputing
Each ecosystem is at the center of a multi-$B market
Pros/cons of each are numerous; diverging hardware/software
Some missions can exist wholly in one ecosystem; some can’t
IaaS
- Interactive
- On-demand
- Elastic
PaaS
- High performance
- Parallel Languages
- Scientific computing
PaaS
- Java
- Map/Reduce
- Easy admin
SaaS
- Indexing
- Search
- Security
IaaS: Infrastructure as Service
PaaS: Platform as a Service
SaaS: Software as a Service
LLGrid provides interactive, on-demand supercomputing
Accumulo database provides high performance indexing, search, and authorizations within a Hadoop environment
LLGrid
Enterprise
Big Data
DBMS
The Big Four Cloud Ecosystems
IaaS
- Interactive
- On-demand
- Elastic
PaaS
- High performance
- Parallel Languages
- Scientific computing
PaaS
- Java
- Map/Reduce
- Easy admin
SaaS
- Indexing
- Search
- Security
IaaS: Infrastructure as Service
PaaS: Platform as a Service
SaaS: Software as a Service
Supercomputing
LLGrid
Enterprise
Big Data
DBMS
MapReduce
The Big Four Cloud Ecosystems
Supercomputing
IaaS
- Interactive
- On-demand
- Elastic
PaaS
- High performance
- Parallel Languages
- Scientific computing
PaaS
- Java
- Map/Reduce
- Easy admin
SaaS
-
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