A demo paper : an analytic workflow framework for green campus

his 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 dynamical...

Full description

Saved in:
Bibliographic Details
Main Authors: Lee, Chonho, Chaisiri, Sivadon, Zoebir, Bong, Chen, Changbing, Lee, Bu-Sung
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/98280
http://hdl.handle.net/10220/12387
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-98280
record_format dspace
spelling sg-ntu-dr.10356-982802020-05-28T07:17:29Z A demo paper : an analytic workflow framework for green campus Lee, Chonho Chaisiri, Sivadon Zoebir, Bong Chen, Changbing Lee, Bu-Sung School of Computer Engineering IEEE International Conference on Parallel and Distributed Systems (18th : 2012 : Singapore) DRNTU::Engineering::Computer science and engineering his 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. 2013-07-26T06:25:48Z 2019-12-06T19:53:07Z 2013-07-26T06:25:48Z 2019-12-06T19:53:07Z 2012 2012 Conference Paper Lee, 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). https://hdl.handle.net/10356/98280 http://hdl.handle.net/10220/12387 10.1109/ICPADS.2012.139 en © 2012 IEEE.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Lee, Chonho
Chaisiri, Sivadon
Zoebir, Bong
Chen, Changbing
Lee, Bu-Sung
A demo paper : an analytic workflow framework for green campus
description his 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.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Lee, Chonho
Chaisiri, Sivadon
Zoebir, Bong
Chen, Changbing
Lee, Bu-Sung
format Conference or Workshop Item
author Lee, Chonho
Chaisiri, Sivadon
Zoebir, Bong
Chen, Changbing
Lee, Bu-Sung
author_sort Lee, Chonho
title A demo paper : an analytic workflow framework for green campus
title_short A demo paper : an analytic workflow framework for green campus
title_full A demo paper : an analytic workflow framework for green campus
title_fullStr A demo paper : an analytic workflow framework for green campus
title_full_unstemmed A demo paper : an analytic workflow framework for green campus
title_sort demo paper : an analytic workflow framework for green campus
publishDate 2013
url https://hdl.handle.net/10356/98280
http://hdl.handle.net/10220/12387
_version_ 1681058274398437376