SCAN: A smart application platform for empowering parallelizations of big genomic data analysis in clouds

Wei Xing; Wei Jie; Crispin Miller

doi:10.1109/ICPP.2015.38

SCAN: A smart application platform for empowering parallelizations of big genomic data analysis in clouds

Wei Xing, Wei Jie, Crispin Miller

Cancer Research UK Manchester Institute

University of West London

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

Cloud computing is often adopted to process big data for genome analysis due to its elasticity and pay-as-you-go features. In this paper, we present SCAN, a smart application platform to facilitate parallelization of big genome analysis in clouds. With a knowledge base and an intelligent application scheduler, the SCAN enables better understanding of bio-applications' characteristics, and helps to orchestrate huge, heterogeneous tasks efficiently and cost-effectively. We conducted a simulation study and found that the SCAN platform is able to improve the performance of genome analysis and reduce its cost in a wide variety of circumstances.

Original language	English
Title of host publication	Proceedings - 2015 44th International Annual Conference on Parallel Processing, ICPP 2015
Publisher	IEEE
Pages	290-299
Number of pages	10
Volume	2015-December
ISBN (Electronic)	9781467375870
DOIs	https://doi.org/10.1109/ICPP.2015.38
Publication status	Published - 8 Dec 2015
Event	44th International Conference on Parallel Processing, ICPP 2015 - Beijing, China Duration: 1 Sept 2015 → 4 Sept 2015

Conference

Conference	44th International Conference on Parallel Processing, ICPP 2015
Country/Territory	China
City	Beijing
Period	1/09/15 → 4/09/15

Keywords

Application platform
Cloud computing
Genome analysis
Parallelization

Research Beacons, Institutes and Platforms

Manchester Cancer Research Centre

Access to Document

10.1109/ICPP.2015.38

Cite this

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title = "SCAN: A smart application platform for empowering parallelizations of big genomic data analysis in clouds",

abstract = "Cloud computing is often adopted to process big data for genome analysis due to its elasticity and pay-as-you-go features. In this paper, we present SCAN, a smart application platform to facilitate parallelization of big genome analysis in clouds. With a knowledge base and an intelligent application scheduler, the SCAN enables better understanding of bio-applications' characteristics, and helps to orchestrate huge, heterogeneous tasks efficiently and cost-effectively. We conducted a simulation study and found that the SCAN platform is able to improve the performance of genome analysis and reduce its cost in a wide variety of circumstances.",

keywords = "Application platform, Cloud computing, Genome analysis, Parallelization",

author = "Wei Xing and Wei Jie and Crispin Miller",

year = "2015",

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doi = "10.1109/ICPP.2015.38",

language = "English",

volume = "2015-December",

pages = "290--299",

booktitle = "Proceedings - 2015 44th International Annual Conference on Parallel Processing, ICPP 2015",

publisher = "IEEE",

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note = "44th International Conference on Parallel Processing, ICPP 2015 ; Conference date: 01-09-2015 Through 04-09-2015",

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Xing, W, Jie, W & Miller, C 2015, SCAN: A smart application platform for empowering parallelizations of big genomic data analysis in clouds. in Proceedings - 2015 44th International Annual Conference on Parallel Processing, ICPP 2015. vol. 2015-December, 7349584, IEEE, pp. 290-299, 44th International Conference on Parallel Processing, ICPP 2015, Beijing, China, 1/09/15. https://doi.org/10.1109/ICPP.2015.38

SCAN: A smart application platform for empowering parallelizations of big genomic data analysis in clouds. / Xing, Wei; Jie, Wei; Miller, Crispin.
Proceedings - 2015 44th International Annual Conference on Parallel Processing, ICPP 2015. Vol. 2015-December IEEE, 2015. p. 290-299 7349584.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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T1 - SCAN

T2 - 44th International Conference on Parallel Processing, ICPP 2015

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AU - Jie, Wei

AU - Miller, Crispin

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N2 - Cloud computing is often adopted to process big data for genome analysis due to its elasticity and pay-as-you-go features. In this paper, we present SCAN, a smart application platform to facilitate parallelization of big genome analysis in clouds. With a knowledge base and an intelligent application scheduler, the SCAN enables better understanding of bio-applications' characteristics, and helps to orchestrate huge, heterogeneous tasks efficiently and cost-effectively. We conducted a simulation study and found that the SCAN platform is able to improve the performance of genome analysis and reduce its cost in a wide variety of circumstances.

AB - Cloud computing is often adopted to process big data for genome analysis due to its elasticity and pay-as-you-go features. In this paper, we present SCAN, a smart application platform to facilitate parallelization of big genome analysis in clouds. With a knowledge base and an intelligent application scheduler, the SCAN enables better understanding of bio-applications' characteristics, and helps to orchestrate huge, heterogeneous tasks efficiently and cost-effectively. We conducted a simulation study and found that the SCAN platform is able to improve the performance of genome analysis and reduce its cost in a wide variety of circumstances.

KW - Application platform

KW - Cloud computing

KW - Genome analysis

KW - Parallelization

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M3 - Conference contribution

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VL - 2015-December

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BT - Proceedings - 2015 44th International Annual Conference on Parallel Processing, ICPP 2015

PB - IEEE

Y2 - 1 September 2015 through 4 September 2015

ER -

SCAN: A smart application platform for empowering parallelizations of big genomic data analysis in clouds

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Keywords

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