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000862484 019__ $$a1079428037$$a1082827173$$a1088924422
000862484 020__ $$a9783030033590$$q(electronic book)
000862484 020__ $$a3030033597$$q(electronic book)
000862484 020__ $$z3030033589
000862484 020__ $$z9783030033583
000862484 0247_ $$a10.1007/978-3-030-03359-0$$2doi
000862484 035__ $$aSP(OCoLC)on1086435472
000862484 035__ $$aSP(OCoLC)1086435472$$z(OCoLC)1079428037$$z(OCoLC)1082827173$$z(OCoLC)1088924422
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000862484 049__ $$aISEA
000862484 050_4 $$aG70.217.G46$$bC56 2019
000862484 08204 $$a006.3$$223
000862484 24500 $$aCloud computing for geospatial big data analyitics :$$bintelligent edge, fog and mist computing /$$cHimansu Das [and three others], editors.
000862484 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019]
000862484 300__ $$a1 online resource (xii, 289 pages) :$$billustrations
000862484 336__ $$atext$$btxt$$2rdacontent
000862484 337__ $$acomputer$$bc$$2rdamedia
000862484 338__ $$aonline resource$$bcr$$2rdacarrier
000862484 4901_ $$aStudies in big data ;$$vvolume 49
000862484 504__ $$aIncludes bibliographical references.
000862484 5050_ $$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.
000862484 506__ $$aAccess limited to authorized users.
000862484 520__ $$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.
000862484 588__ $$aDescription based on print version record.
000862484 650_0 $$aGeospatial data$$xData processing.
000862484 650_0 $$aCloud computing.
000862484 650_0 $$aBig data.
000862484 7001_ $$aDas, Himansu,$$eeditor.
000862484 77608 $$iPrint version:$$z3030033589$$z9783030033583$$w(OCoLC)1055264007
000862484 830_0 $$aStudies in big data ;$$vv. 49.
000862484 852__ $$bebk
000862484 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-03359-0$$zOnline Access$$91397441.1
000862484 909CO $$ooai:library.usi.edu:862484$$pGLOBAL_SET
000862484 980__ $$aEBOOK
000862484 980__ $$aBIB
000862484 982__ $$aEbook
000862484 983__ $$aOnline
000862484 994__ $$a92$$bISE