Skyport - Container-Based Execution Environment Management for Multi-Cloud Scientific Workflows

被引：64

作者：

Gerlach, Wolfgang ^{[1
,2
]}

Tang, Wei ^{[2
]}

Keegan, Kevin ^{[1
,2
]}

Harrison, Travis ^{[1
,2
]}

Wilke, Andreas ^{[2
]}

Bischof, Jared ^{[1
,2
]}

D'Souza, Mark ^{[1
,2
]}

Devoid, Scott ^{[1
,2
]}

Murphy-Olson, Daniel ^{[1
,2
]}

Desai, Narayan ^{[3
]}

Meyer, Folker ^{[1
,2
]}

机构：

[1] Univ Chicago, Chicago, IL 60637 USA

[2] Argonne Natl Lab, Argonne, IL USA

[3] Ericsson, San Jose, CA USA

来源：

2014 5TH INTERNATIONAL WORKSHOP ON DATA-INTENSIVE COMPUTING IN THE CLOUDS (DATACLOUD) | 2014年

关键词：

D O I：

10.1109/DataCloud.2014.6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recently, Linux container technology has been gaining attention as it promises to transform the way software is developed and deployed. The portability and ease of deployment makes Linux containers an ideal technology to be used in scientific workflow platforms. Skyport utilizes Docker Linux containers to solve software deployment problems and resource utilization inefficiencies inherent to all existing scientific workflow platforms. As an extension to AWE/Shock, our data analysis platform that provides scalable workflow execution environments for scientific data in the cloud, Sky port greatly reduces the complexity associated with providing the environment necessary to execute complex workflows.

引用

页码：25 / 32

页数：8

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