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020 _a9783030033590
024 7 _a10.1007/978-3-030-03359-0
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aG70.217.G46
_b2019 EB
245 0 0 _aCloud Computing for Geospatial Big Data Analytics :
_bIntelligent Edge, Fog and Mist Computing
_cedited by Himansu Das, Rabindra K. Barik, Harishchandra Dubey, Diptendu Sinha Roy.
264 1 _aCham
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XII, 289 páginas)
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aStudies in Big Data
_x2197-6503
_v49
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aBig Data Scientific Workflows in the Cloud: Challenges and Future Prospects -- Trust Model based Scheduling of Stochastic Workflows in Cloud and Fog Computing -- Trust-Based Access control in Cloud Computing using Machine Learning -- Cloud Security Ontology (CSO) -- Cloud Based Supply Chain Networks - Principles and Practices -- Parallel Computation of a MMDBM algorithm on GPU mining with Big data -- Data Analytics of IoT Enabled Smart Energy Meter in Smart Cities -- A New and Secure Intrusion Detecting system for Detection of Anomalies within the Big Data -- Geospatial Big Data, Analytics and IoT: Challenges, Applications and Potential -- Geocloud4GI: Cloud SDI Model for Geographical Indications Information Infrastructure Network -- The Role of Geospatial Technology with IoT for Precision Agriculture.
520 3 _aThis book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.
988 _aPrimersemestre_2019_Robotics
650 7 _2embne
_aSistemas de información geográfica
_9263853
700 1 _aDas, Himansu.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aBarik, Rabindra K.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDubey, Harishchandra.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aRoy, Diptendu Sinha.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783030033583
776 0 8 _iPrinted edition:
_z9783030033606
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-03359-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b11/2019
_ek
_zSI