Architecture-Awareness for Real-Time Big Data Systems
I. Gray, N. C. Audsley, Y. Chan and A. Wellings
Existing programming models for distributed and cloud-based systems tend to abstract away from the architectures of individual target nodes, concentrating instead on higher- level issues of algorithm representation (MapReduce etc.). However, as programmers begin to tackle the issue of Big Data, increasing data volumes are forcing developers to re- consider this approach and to optimise their software heavily. JUNIPER is an EU-funded project which assists Big Data developers to create architecture-aware software in a way that is suitable for the target domain, and provides higher performance, portability, and real-time guarantees.
BibTex Entry
@inproceedings{Gray2014b,
author = {I. Gray and N. C. Audsley and Y. Chan and A. Wellings},
booktitle = {The 21st European MPI Users' Group Meeting Kyoto, Japan, (EuroMPI/ASIA)},
title = {Architecture-Awareness for Real-Time Big Data Systems},
year = {2014}
}