Streaming Support for Data Intensive Cloud-Based Sequence Analysis
Joint Authors
Issa, Shadi A.
Kienzler, Romeo
El-Kalioby, Mohamed
Tonellato, Peter J.
Wall, Dennis
Bruggmann, Rémy
Abouelhoda, Mohamed
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-24
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Cloud computing provides a promising solution to the genomics data deluge problem resulting from the advent of next-generation sequencing (NGS) technology.
Based on the concepts of “resources-on-demand” and “pay-as-you-go”, scientists with no or limited infrastructure can have access to scalable and cost-effective computational resources.
However, the large size of NGS data causes a significant data transfer latency from the client’s site to the cloud, which presents a bottleneck for using cloud computing services.
In this paper, we provide a streaming-based scheme to overcome this problem, where the NGS data is processed while being transferred to the cloud.
Our scheme targets the wide class of NGS data analysis tasks, where the NGS sequences can be processed independently from one another.
We also provide the elastream package that supports the use of this scheme with individual analysis programs or with workflow systems.
Experiments presented in this paper show that our solution mitigates the effect of data transfer latency and saves both time and cost of computation.
American Psychological Association (APA)
Issa, Shadi A.& Kienzler, Romeo& El-Kalioby, Mohamed& Tonellato, Peter J.& Wall, Dennis& Bruggmann, Rémy…[et al.]. 2013. Streaming Support for Data Intensive Cloud-Based Sequence Analysis. BioMed Research International،Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-1005122
Modern Language Association (MLA)
Issa, Shadi A.…[et al.]. Streaming Support for Data Intensive Cloud-Based Sequence Analysis. BioMed Research International No. 2013 (2013), pp.1-16.
https://search.emarefa.net/detail/BIM-1005122
American Medical Association (AMA)
Issa, Shadi A.& Kienzler, Romeo& El-Kalioby, Mohamed& Tonellato, Peter J.& Wall, Dennis& Bruggmann, Rémy…[et al.]. Streaming Support for Data Intensive Cloud-Based Sequence Analysis. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-1005122
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1005122