NDLI: Combining human and machine computing elements for analysis via crowdsourcing

Content Provider	IEEE Xplore Digital Library
Author	Jarrett, Julian Saleh, Iman Blake, M. Brian Malcolm, Rohan Thorpe, Sean Grandison, Tyrone
Copyright Year	2014
Description	Author affiliation: Department of Computer Science, University of Miami, Coral Gables, Florida, USA (Jarrett, Julian; Saleh, Iman; Blake, M. Brian) \|\| Proficiency Labs, Ashland, Oregon, USA (Grandison, Tyrone) \|\| Computational Sciences Research Group, School of Computing and IT, University of Technology, Jamaica, Kingston, Jamaica (Malcolm, Rohan; Thorpe, Sean)
Abstract	Crowd computing leverages human input in order to execute tasks that are computationally expensive, due to complexity and/or scale. Combined with automation, crowd computing can help solve problems efficiently and effectively. In this work, we introduce an elasticity framework that adaptively optimizes the use of human and automated software resources in order to maximize overall performance. This framework includes a quantitative model that supports elasticity when performing complex tasks. Our model defines a task complexity index and an elasticity index that is used to aid in decision support for assigning tasks to respective computing elements. Experiments demonstrate that the framework can effectively optimize the use of human and machine computing elements simultaneously. Also, as a consequence, overall performance is significantly enhanced.
Starting Page	312
Ending Page	321
File Size	2157785
Page Count	10
File Format	PDF
ISBN	9781631900433
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	ICST
Subject Keyword	Measurement Crowdsourcing Computational modeling Face recognition experimentation Elasticity crowdsouring elastic systems Complexity theory Indexes
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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