Towards data analysis for weather cloud computing

Knowledge-Based Systems - Tập 127 - Trang 29-45 - 2017
Victor Chang1
1IBSS, Xi'an Jiaotong Liverpool University, Suzhou, China

Tài liệu tham khảo

Chen, 2012, Business intelligence and analytics: from big data to big impact, MIS Quart., 36, 1165, 10.2307/41703503 Mayer-Schönberger, 2013 Chang, 2016, A model to compare cloud and non-cloud storage of Big Data, Future Generation Comput. Syst., 10.1016/j.future.2015.10.003 Sutcliffe, 2012 Biddle, 1999, Reuse of debuggers for visualization of reuse, 92 Ko, 2011, The state of the art in end-user software engineering, ACM Comput. Surv. (CSUR), 43, 21, 10.1145/1922649.1922658 Nichols, 2002, Generating remote control interfaces for complex appliances, 161 Chang, 2014, Business intelligence as a service, Future Generation Comput. Syst., 37, 512, 10.1016/j.future.2013.12.028 Gunarathne, 2009, Experience with adapting a WS-BPEL runtime for eScience workflows Droegemeier, 2005, Service-oriented environments for dynamically interacting with mesoscale weather, Comput. Sci. Eng., 7, 12, 10.1109/MCSE.2005.124 J., Slingo, S., Belcher, A., Scaife, M., MacCarthy, A., Saulter, K., McBeach, A., Jenkins, C., Huntingford, T., March, J., Hannaford, S., Parry (2014), The Recent Storms and Floods in the UK, Met Office, white paper, Feb. Van Hinsber, 2016 Boykoff, 2007, Flogging a dead norm? Newspaper coverage of anthropogenic climate change in the United States and United Kingdom from 2003 to 2006, J. compilation R. Geograph. Soc., 39 Loucks, 2005 Shah, 2013 Chahine, 2006, AIRS: improving weather forecasting and providing new data on greenhouse gases, Bull. Am. Meteorol. Soc., 87, 10.1175/BAMS-87-7-911 Xue, 2003, The advanced regional prediction system (ARPS), storm-scale numerical weather prediction and data assimilation, Meteorol. Atmos. Phys., 82, 139, 10.1007/s00703-001-0595-6 Campbell, 2005, Weather forecasting for weather derivatives, J. Amer. Statist. Assoc., 100, 10.1198/016214504000001051 Plale, 2006, Casa and lead: adaptive cyberinfrastructure for real-time multiscale weather forecasting, IEEE Comput., 39, 56, 10.1109/MC.2006.375 Li, 2010, escience in the cloud: a modis satellite data reprojection and reduction pipeline in the windows azure platform, 1 H., 2013, Leveraging the capabilities of service-oriented decision support systems: putting analytics and big data in cloud, Decis. Support Syst., 55, 412, 10.1016/j.dss.2012.05.048 Gao, 2014, Constructing gazetteers from volunteered big geo-data based on Hadoop, Comput. Env. Urban Syst. Baldauf, 2011, Operational convective-scale numerical weather prediction with the COSMO model: description and sensitivities, Monthly Weather Rev., 139, 3887, 10.1175/MWR-D-10-05013.1 Wolski, 1999, The network weather service: a distributed resource performance forecasting service for metacomputting, Future Generation Comput. Syst., 15, 757, 10.1016/S0167-739X(99)00025-4 Mayagoitia, 2002, Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems, J. Biomech., 35, 537, 10.1016/S0021-9290(01)00231-7 Yang, 2002, Homeostatic and tendency-based CPU load prediction, 9 Haddad, 1991 Ulrych, 1975, Maximum entropy spectral analysis and autoregressive decomposition, Rev. Geophys., 13, 183, 10.1029/RG013i001p00183 Wolski, 1997, Forecasting network performance to support dynamic scheduling using the network weather service, 316 Ribeiro, 2002 Carr, 2002, The fine structure of asset returns: an empirical investigation, J. Bus., 75, 305, 10.1086/338705 Brigo, 2007 Zimmermann, 2006 Madan, 1998, The variance gamma process and option pricing, Eur. Finance Rev., 2, 79, 10.1023/A:1009703431535 Avramidis, 2003, Efficient simulation of gamma and variance-gamma processes, 1, 319 Veiga, 2016, Flame-MR: an event-driven architecture for MapReduce applications, Future Generation Comput. Syst., 65, 46, 10.1016/j.future.2016.06.006 De Kruijf, 2009, MapReduce for the cell broadband engine architecture, IBM J. Res. Dev., 53, 10, 10.1147/JRD.2009.5429076 Hoffa, 2008, On the use of cloud computing for scientific workflows, 640 Sotomayor, 2009, Resource leasing and the art of suspending virtual machines, 59 Chang, 2016, Cloud computing adoption framework: a security framework for business clouds, Future Generation Comput. Syst., 57, 24, 10.1016/j.future.2015.09.031 Yang, 2007, Map-reduce-merge: simplified relational data processing on large clusters, 1029 Huang, 2012, High-performance design of hbase with rdma over infiniband, 774 Balkir, 2011, A distributed look-up architecture for text mining applications using MapReduce, 1 Farivar, 2008, A parallel implementation of K-means clustering on GPUs, 340 Chang, 2016, A model to compare cloud and non-cloud storage of Big Data, Future Generation Comput. Syst., 57, 56, 10.1016/j.future.2015.10.003 Villegas, 2012, Cloud federation in a layered service model, J. Comput. Syst. Sci., 78, 1330, 10.1016/j.jcss.2011.12.017 Shekhar, 2012, Spatial big-data challenges intersecting mobility and cloud computing, 1 Yang, 2017, Utilizing cloud computing to address big geospatial data challenges, Comput. Env. Urban Syst., 61, 120, 10.1016/j.compenvurbsys.2016.10.010 Pelland, 2013, Solar and photovoltaic forecasting through post‐processing of the Global Environmental Multiscale numerical weather prediction model, Prog. Photovoltaics Res. Appl., 21, 284, 10.1002/pip.1180