DocumentCode
2979819
Title
A Demo Paper: An Analytic Workflow Framework for Green Campus
Author
Chonho Lee ; Chaisiri, Sivadon ; Zoebir, Bong ; Changbing Chen ; Bu-Sung Lee
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2012
fDate
17-19 Dec. 2012
Firstpage
851
Lastpage
855
Abstract
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.
Keywords
cloud computing; data analysis; green computing; human computer interaction; parallel processing; power aware computing; workflow management software; Department of Engineering; ERA; Tokyo University; analytic multitenant workflow framework; cloud computing environment; cloud computing technologies; data analytic workflow; distributed tasks; energy efficiency; event room assignment; green campus; parallel processing; power consumption data; power usage; task scheduling; user requirements; user-friendly workflow composition; Buildings; Cloud computing; Computer architecture; Educational institutions; Power demand; Real-time systems; XML; Big Data Analytics; Cloud Computing; Workflow Composition;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Systems (ICPADS), 2012 IEEE 18th International Conference on
Conference_Location
Singapore
ISSN
1521-9097
Print_ISBN
978-1-4673-4565-1
Electronic_ISBN
1521-9097
Type
conf
DOI
10.1109/ICPADS.2012.139
Filename
6413593
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