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_aSpringerLink (Online service) _9106996 |
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| 003 | ES-MaUEC | ||
| 005 | 20230102113514.0 | ||
| 008 | 181211s2019 gw a o |||| 0|eng d | ||
| 020 | _a9783030033590 | ||
| 024 | 7 |
_a10.1007/978-3-030-03359-0 _2doi |
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| 040 |
_bspa _dES-MaUEC _cES-MaUEC |
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| 050 | 4 |
_aG70.217.G46 _b2019 EB |
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| 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 |
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| 300 | _a1 recurso en línea (XII, 289 páginas) | ||
| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aStudies in Big Data _x2197-6503 _v49 |
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| 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 |
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| 700 | 1 |
_aDas, Himansu. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aBarik, Rabindra K. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aDubey, Harishchandra. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aRoy, Diptendu Sinha. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 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) |
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_aSI _cm _dz _feng _ggw _h0 _b11/2019 _ek _zSI |
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