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010   $a3-030-03359-7
024 7 $a10.1007/978-3-030-03359-0
035   $a(CKB)4100000007204729
035   $a(MiAaPQ)EBC5613423
035   $a(DE-He213)978-3-030-03359-0
035   $a(PPN)24376751X
035   $a(EXLCZ)994100000007204729
100   $a20181211d2019      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aCloud Computing for Geospatial Big Data Analytics$b[electronic resource] $eIntelligent Edge, Fog and Mist Computing /$fedited by Himansu Das, Rabindra K. Barik, Harishchandra Dubey, Diptendu Sinha Roy
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (294 pages)
225 1 $aStudies in Big Data,$x2197-6503 ;$v49
311   $a3-030-03358-9 
320   $aIncludes bibliographical references.
327   $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.
330   $aThis book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.
410  0$aStudies in Big Data,$x2197-6503 ;$v49
606   $aComputational intelligence
606   $aArtificial intelligence
606   $aGeographical information systems
606   $aBig data
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aGeographical Information Systems/Cartography$3https://scigraph.springernature.com/ontologies/product-market-codes/J13000
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
615  0$aComputational intelligence.
615  0$aArtificial intelligence.
615  0$aGeographical information systems.
615  0$aBig data.
615 14$aComputational Intelligence.
615 24$aArtificial Intelligence.
615 24$aGeographical Information Systems/Cartography.
615 24$aBig Data.
676   $a004.6782
702   $aDas$b Himansu$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aBarik$b Rabindra K$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aDubey$b Harishchandra$4edt$4http://id.loc.gov/vocabulary/relators/edt
702   $aRoy$b Diptendu Sinha$4edt$4http://id.loc.gov/vocabulary/relators/edt
906   $aBOOK
912   $a9910483763303321
996   $aCloud Computing for Geospatial Big Data Analytics$92850384
997   $aUNINA