NDLI: A Workflow Framework for Big Data Analytics: Event Recognition in a Building

Content Provider	IEEE Xplore Digital Library
Author	Chonho Lee Changbing Chen Xia Yang Zoebir, B. Chaisiri, S. Bu-Sung Lee
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore (Chonho Lee; Changbing Chen; Xia Yang; Zoebir, B.; Chaisiri, S.; Bu-Sung Lee)
Abstract	This paper studies event recognition in a building based on the patterns of power consumption. It is a big challenge to identify what kinds of events happened in a building without additional devices such as camera and motion sensors, etc. Instead, we learn when and how the events happened from the historical record of power consumption and apply the lesson into the design of an event recognition system (ERS). The ERS will find out abnormal power usage to avoid wasting power, which leads to the energy savings in a building. The ERS involves big data analytics with a large size of dataset collected in a real time. Such a data intensive system is usually viewed as a workflow. A workflow management is a significant task of the system requiring data analysis in terms of the system scalability to maintain high throughput or fast speed analysis. We propose a workflow framework that allows users to perform remote and parallel workflow execution, whose tasks are efficiently scheduled and distributed in cloud computing environment. We run the ERS as a target system for the proposed framework with power consumption data (whose size is approximately 20GB or more) collected from each of over 240 rooms in a building at Dept. of Engineering, Tokyo University in 2011. We show that the proposed framework accelerates the speed of data analysis by providing scaling infrastructure and parallel processing feature utilizing cloud computing technologies. We also share our experience and results on the big data analytics and discuss how the studies contribute to achieve Green Campus.
Starting Page	21
Ending Page	28
File Size	688649
Page Count	8
File Format	PDF
e-ISBN	9780769550244
DOI	10.1109/SERVICES.2013.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Workflow framework Power demand Correlation Green building Buildings Lighting XML Big data analytics Event recognition system Plugs
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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