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Adaptable Scheduling Schemes for Scientific Applications on Science Cloud

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Authors
Kim, Seoyoung; Kim, Yoonhee; Song, Naeyoung; Kim, Chongam
Issue Date
2010
Publisher
IEEE
Citation
Cluster Computing Workshops and Posters (CLUSTER WORKSHOPS), 2010 IEEE International Conference on, pp.1-3
Keywords
공학componentCloud computingSchedulingScientific applicationScience cloud
Abstract
As one of IaaS (Infrastructure-as-a-Service), it is
beneficial to arrange virtual machines dynamically to
applications based on resource provisioning mechanism.
However, it is challenging to apply scheduling scheme to utilize
resources efficiently when many tasks require a lot of
resources at the same time. Especially, scientific applications,
which require large-scale computing resource for long term
execution period, need more dynamic scheduling to occupy
resource appropriately. Resource virtualization, manipulating
several virtual machines (VMs) over physical resource gives
good opportunities to enhance the performance of applications
and resources. In this paper, we conducted experiments on
adaptable scheduling schemes with scientific applications
which need a lot of resources for long execution time period on
cloud computing environment by distributing jobs to VMs. We
provide cloud computing infrastructure by using OpenNebula
virtual infrastructure engine and Haziea scheduler. Moreover,
we verified the improvement of the execution time of
applications and whole resource usage by scheduling VMs
according to their priorities.
Language
English
URI
https://hdl.handle.net/10371/82406
DOI
https://doi.org/10.1109/CLUSTERWKSP.2010.5613088
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Others_기계항공공학부
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