Heterogeneous Cloud Computing

Current cloud computing infrastructure typically assumes a homogeneous collection of commodity hardware, with details about hardware variation intentionally hidden from users. In this paper, we present our approach for extending the traditional notions of cloud computing to provide a cloud-based acc...

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Main Authors: Crago, S., Dunn, K., Eads, P., Hochstein, L., Dong-In Kang, Mikyung Kang, Modium, D., Singh, K., Jinwoo Suh, Walters, J. P.
Format: Conference Proceeding
Language:English
Subjects:
accelerators
Cloud computing
Computer architecture
Graphics processing unit
Hardware
high-performance computing
Libraries
Servers
Virtual machining
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creator Crago, S.
Dunn, K.
Eads, P.
Hochstein, L.
Dong-In Kang
Mikyung Kang
Modium, D.
Singh, K.
Jinwoo Suh
Walters, J. P.
description Current cloud computing infrastructure typically assumes a homogeneous collection of commodity hardware, with details about hardware variation intentionally hidden from users. In this paper, we present our approach for extending the traditional notions of cloud computing to provide a cloud-based access model to clusters that contain a heterogeneous architectures and accelerators. We describe our ongoing work extending the Open Stack cloud computing stack to support heterogeneous architectures and accelerators, and our experiences running Open Stack on our local heterogeneous cluster testbed.
doi_str_mv 10.1109/CLUSTER.2011.49
format conference_proceeding
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subjects accelerators
Cloud computing
Computer architecture
Graphics processing unit
Hardware
high-performance computing
Libraries
Servers
Virtual machining
title Heterogeneous Cloud Computing
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