Architecture-awareness for real-time big data systems

Ian Gray; Neil C. Audsley; Yu Chan; Andy Wellings

doi:10.1145/2642769.2642798

Architecture-awareness for real-time big data systems

Ian Gray, Neil C. Audsley, Yu Chan, Andy Wellings

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Existing programming models for distributed and cloudbased systems tend to abstract away from the architectures of individual target nodes, concentrating instead on higherlevel issues of algorithm representation (MapReduce etc.). However, as programmers begin to tackle the issue of Big Data, increasing data volumes are forcing developers to reconsider 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.

Original language	English
Title of host publication	ACM International Conference Proceeding Series
Publisher	ACM
Pages	151-156
Number of pages	6
ISBN (Print)	9781450328753
DOIs	https://doi.org/10.1145/2642769.2642798
Publication status	Published - 9 Sept 2014
Event	21st European MPI Users' Group Meeting, EuroMPI/ASIA 2014 - Kyoto, Japan Duration: 9 Sept 2014 → 12 Sept 2014

Conference

Conference	21st European MPI Users' Group Meeting, EuroMPI/ASIA 2014
Country/Territory	Japan
City	Kyoto
Period	9/09/14 → 12/09/14

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10.1145/2642769.2642798

Cite this

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title = "Architecture-awareness for real-time big data systems",

abstract = "Existing programming models for distributed and cloudbased systems tend to abstract away from the architectures of individual target nodes, concentrating instead on higherlevel issues of algorithm representation (MapReduce etc.). However, as programmers begin to tackle the issue of Big Data, increasing data volumes are forcing developers to reconsider 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.",

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AB - Existing programming models for distributed and cloudbased systems tend to abstract away from the architectures of individual target nodes, concentrating instead on higherlevel issues of algorithm representation (MapReduce etc.). However, as programmers begin to tackle the issue of Big Data, increasing data volumes are forcing developers to reconsider 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.

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Y2 - 9 September 2014 through 12 September 2014

ER -

Architecture-awareness for real-time big data systems

Abstract

Conference

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