A Demo Paper: An Analytic Workflow Framework for Green Campus

This paper proposes a multi-tenant workflow framework that allows users to create data analytic workflows whose tasks are efficiently scheduled and distributed in cloud computing environment. We provide a demo of an event room assignment (ERA) as a test application of the framework. The ERA dynamica...

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Bibliographic Details
Published in:2012 IEEE 18th International Conference on Parallel and Distributed Systems pp. 851 - 855
Main Authors: Chonho Lee, Chaisiri, S., Zoebir, B., Changbing Chen, Bu-Sung Lee
Format: Conference Proceeding
Language:English
Published: IEEE 01-12-2012
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Summary:This paper proposes a multi-tenant workflow framework that allows users to create data analytic workflows whose tasks are efficiently scheduled and distributed in cloud computing environment. We provide a demo of an event room assignment (ERA) as a test application of the framework. The ERA dynamically and automatically assigns registered events (e.g., meetings, classes, conferences, etc.) to available rooms meeting the user requirements such as the event size, purpose, reservation period, etc. The assignment will lead to the energy efficiency with respect to the power usage (e.g., lighting, ventilation, devices, etc.), and the energy savings can be achieved without affecting people's comfort. We run the ERA with power consumption data (whose size is approximately 50GB) collected from each of over 200 rooms in a building at Dept. of Engineering, Tokyo University. Through the demonstration, we will show that the proposed framework accelerates the speed of data analysis by providing user-friendly workflow composition and parallel processing features utilizing cloud computing technologies.
ISBN:9781467345651
1467345652
ISSN:1521-9097
2690-5965
DOI:10.1109/ICPADS.2012.139