Task Placement in a Cloud with Case-based Reasoning

Eric Schulte-Zurhausen, Mirjam Minor

2014

Abstract

Moving workflow management to the cloud raises novel, exciting opportunities for rapid scalability of workflow execution. Instead of running a fixed number of workflow engines on an invariant cluster of physical machines, both physical and virtual resources can be scaled rapidly. Furthermore, the actual state of the resources gained from cloud monitoring tools can be used to schedule workload, migrate workload or conduct split and join operations for workload at run time. However, having so many options for distributing workload forms a computationally complex configuration problem which we call the task placement problem. In this paper, we present a case-based framework addressing the task placement problem by interleaving workflow management and cloud management. In addition to traditional workflow and cloud management operations it provides a set of task internal operations for workload distribution.

References

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Paper Citation


in Harvard Style

Schulte-Zurhausen E. and Minor M. (2014). Task Placement in a Cloud with Case-based Reasoning . In Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-019-2, pages 323-328. DOI: 10.5220/0004944203230328


in Bibtex Style

@conference{closer14,
author={Eric Schulte-Zurhausen and Mirjam Minor},
title={Task Placement in a Cloud with Case-based Reasoning},
booktitle={Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2014},
pages={323-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004944203230328},
isbn={978-989-758-019-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Task Placement in a Cloud with Case-based Reasoning
SN - 978-989-758-019-2
AU - Schulte-Zurhausen E.
AU - Minor M.
PY - 2014
SP - 323
EP - 328
DO - 10.5220/0004944203230328