Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98280
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dc.contributor.authorLee, Chonhoen
dc.contributor.authorChaisiri, Sivadonen
dc.contributor.authorZoebir, Bongen
dc.contributor.authorChen, Changbingen
dc.contributor.authorLee, Bu-Sungen
dc.date.accessioned2013-07-26T06:25:48Zen
dc.date.accessioned2019-12-06T19:53:07Z-
dc.date.available2013-07-26T06:25:48Zen
dc.date.available2019-12-06T19:53:07Z-
dc.date.copyright2012en
dc.date.issued2012en
dc.identifier.citationLee, C., Chaisiri, S., Zoebir, B., Chen, C., & Lee, B.-S. (2012). A Demo Paper: An Analytic Workflow Framework for Green Campus. 2012 IEEE 18th International Conference on Parallel and Distributed Systems (ICPADS).en
dc.identifier.urihttps://hdl.handle.net/10356/98280-
dc.description.abstracthis 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.en
dc.language.isoenen
dc.rights© 2012 IEEE.en
dc.subjectDRNTU::Engineering::Computer science and engineeringen
dc.titleA demo paper : an analytic workflow framework for green campusen
dc.typeConference Paperen
dc.contributor.schoolSchool of Computer Engineeringen
dc.contributor.conferenceIEEE International Conference on Parallel and Distributed Systems (18th : 2012 : Singapore)en
dc.identifier.doi10.1109/ICPADS.2012.139en
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:SCSE Conference Papers

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