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001 978-3-031-18034-7
003 DE-He213
005 20240207153513.0
007 cr nn 008mamaa
008 221216s2023 sz | s |||| 0|eng d
020 _a9783031180347
_9978-3-031-18034-7
050 4 _aQA76.585
072 7 _aUTC
_2bicssc
072 7 _aCOM000000
_2bisacsh
072 7 _aUTC
_2thema
082 0 4 _a004.6782
_223
245 1 0 _aPredictive Analytics in Cloud, Fog, and Edge Computing
_h[electronic resource] :
_bPerspectives and Practices of Blockchain, IoT, and 5G /
_cedited by Hiren Kumar Thakkar, Chinmaya Kumar Dehury, Prasan Kumar Sahoo, Bharadwaj Veeravalli.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aX, 248 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aAcceso multiusuario
505 0 _aChapter. 1. Collaboration of IoT and Cloud Computing towards Healthcare Security -- Chapter. 2. Robust, Reversible Medical Image Watermarking for Transmission of Medical Images over Cloud in Smart IoT Healthcare -- Chapter. 3.The Role of Blockchain in Cloud Computing -- Chapter. 4. Analysis and Prediction of Plant Growth in a Cloud-based Smart Sensor Controlled Environment -- Chapter. 5. Cloud-based IoT controlled System Model for Plant Disease Monitoring -- Chapter. 6 -- Design and Usage of a Digital E- Pharmacy Application Framework -- Chapter. 7. Serverless Data Pipelines for IoT data analytics: A cloud vendors perspective and solutions -- Chapter. 8. Integration of Predictive Analytics and Cloud Computing for Mental Health Prediction -- Chapter. 9. Impact of 5G technologies on cloud analytics -- Chapter. 10. IoT based ECG-SCG Big Data Analysis Framework for Continuous Cardiac Health Monitoring in Cloud Data Centers -- Chapter. 11. A Workload-aware Data Placement Scheme for Hadoop-enabled MapReduce Cloud Data Center -- Chapter. 12. 5G Enabled Smart City using Cloud Environment.
520 _aThis book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing. The relationship will not be limited to only architecture proposal, trends, and technical advancements. However, the book also explores the possibility of predictive analytics in cloud computing with respect to Blockchain, IoT, and 5G. The recent advancements in the internet-supported distributed computing i.e. cloud computing, has made it possible to process the bulk amount of data in a parallel and distributed. This has made it a lucrative technology to process the data generated from technologies such as Blockchain, IoT, and 5G. However, there are several issues a Cloud Service Provider (CSP) encounters, such as Blockchain security in cloud, IoT elasticity and scalability management in cloud, Service Level Agreement (SLA) compliances for 5G, Resource management, Load balancing, and Fault-tolerance. This edited book will discuss the aforementioned issues in connection with Blockchain, IoT, and 5G. Moreover, the book discusses how the cloud computing is not sufficient and one needs to use fog computing, and edge computing to efficiently process the data generated from IoT, and 5G. Moreover, the book shows how smart city, smart healthcare system, and smart communities are few of the most relevant IoT applications where fog computing plays a significant role. The book discusses the limitation of fog computing and the need for the edge computing to further reduce the network latency to process streaming data from IoT devices. The book also explores power of predictive analytics of Blockchain, IoT, and 5G data in cloud computing with its sister technologies. Since, the amount of resources increases day-by day, artificial intelligence (AI) tools are becoming more popular due to their capability which can be used in solving wide variety of issues, such as minimize the energy consumption of physical servers, optimize the service cost, improve the quality of experience, increase the service availability, efficiently handle the huge data flow, manages the large number of IoT devices, etc.
541 _fUABC ;
_cPerpetuidad
650 0 _aCloud Computing.
650 0 _aBlockchains (Databases).
650 0 _aMachine learning.
650 1 4 _aCloud Computing.
650 2 4 _aBlockchain.
650 2 4 _aMachine Learning.
700 1 _aThakkar, Hiren Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDehury, Chinmaya Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSahoo, Prasan Kumar.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aVeeravalli, Bharadwaj.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031180330
776 0 8 _iPrinted edition:
_z9783031180354
776 0 8 _iPrinted edition:
_z9783031180361
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-18034-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cLIBRO_ELEC
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