NDLI: Accurate weather forecasting through locality based collaborative computing

Content Provider	IEEE Xplore Digital Library
Author	Fjukstad, B. Bjorndalen, J.M. Anshus, O.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Tromso, Tromso, Norway (Fjukstad, B.; Bjorndalen, J.M.; Anshus, O.)
Abstract	The Collaborative Symbiotic Weather Forecasting (CSWF) system lets a user compute a short time, high-resolution forecast for a small region around the user, in a few minutes, on-demand, on a PC. A collaborated forecast giving better uncertainty estimation is then created using forecasts from other users in the same general region. A collaborated forecast can be visualized on a range of devices and in a range of styles, typically as a composite of the individual forecasts. CSWF assumes locality between forecasts, regions, and PCs. Forecasts for a region are computed by and stored on PCs located within the region. To locate forecasts, CSWF simply scans specific ports on public IP addresses in the local area. Scanning is robust because it avoids maintaining state about others and fast because the number of computers is low and only a few forecasts are needed.
Starting Page	571
Ending Page	578
File Size	749885
Page Count	8
File Format	PDF
ISBN	9781936968923
DOI	10.4108/icst.collaboratecom.2013.254178
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	ICST
Subject Keyword	Symbiosis Computers Computational modeling Peer to Peer Weather forecasting Collaboration Weather Forecast Numerical models Distributed Computing
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

Producing and Sharing Regional Weather Forecast Data for e-Science Applications

An efficient collaborative mechanism for enterprise cloud applications

A Numerical Prediction Product FNN Prediction Model Based on Condition Number and Analog Deviation

Collaborative Early EFL Reading among Distributed Learners: A Simulation Pilot Study

Using adaptive learning techniques for fast and accurate approximation of physics in numerical models

Maximizing the Performance of the Weather Research and Forecast Model over the Hawaiian Islands

SDR: A Semantic Based Distributed Repository for Simulation Models and Resources

Log garbage collector-based real time collaborative editor for mobile devices

Trust: Transaction History Based Peer-to-Peer Trust Model

Accurate weather forecasting through locality based collaborative computing

Similar Documents

Producing and Sharing Regional Weather Forecast Data for e-Science Applications

An efficient collaborative mechanism for enterprise cloud applications

A Numerical Prediction Product FNN Prediction Model Based on Condition Number and Analog Deviation

Collaborative Early EFL Reading among Distributed Learners: A Simulation Pilot Study

Using adaptive learning techniques for fast and accurate approximation of physics in numerical models

Maximizing the Performance of the Weather Research and Forecast Model over the Hawaiian Islands

SDR: A Semantic Based Distributed Repository for Simulation Models and Resources

Log garbage collector-based real time collaborative editor for mobile devices

Trust: Transaction History Based Peer-to-Peer Trust Model

Accurate weather forecasting through locality based collaborative computing