| 000 | 05291cam a2200577 i 4500 | ||
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| 001 | 9781003213888 | ||
| 003 | FlBoTFG | ||
| 005 | 20240213122826.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 220412s2022 xx o 000 0 eng d | ||
| 040 |
_aOCoLC-P _beng _erda _epn _cOCoLC-P |
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| 020 |
_a9781003213888 _q(electronic bk.) |
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_a100321388X _q(electronic bk.) |
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_a9781000593945 _q(electronic bk. ; _qEPUB) |
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_a1000593940 _q(electronic bk. ; _qEPUB) |
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| 020 |
_a9781000593921 _q(electronic bk. ; _qPDF) |
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_a1000593924 _q(electronic bk. ; _qPDF) |
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| 020 | _z9781032276182 | ||
| 020 | _z9781032101507 | ||
| 024 | 7 |
_a10.1201/9781003213888 _2doi |
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| 035 | _a(OCoLC)1310470808 | ||
| 035 | _a(OCoLC-P)1310470808 | ||
| 050 | 4 | _aTK5105.8857 | |
| 072 | 7 |
_aCOM _x091000 _2bisacsh |
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| 072 | 7 |
_aCOM _x032000 _2bisacsh |
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| 072 | 7 |
_aCOM _x059000 _2bisacsh |
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| 072 | 7 |
_aUB _2bicssc |
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| 082 | 0 | 4 |
_a004.67/8 _223/eng/20220124 |
| 245 | 0 | 0 |
_aCloud and fog computing platforms for Internet of Things / _cedited by Pankaj Bhambri, Sita Rani, Gaurav Gupta, Alex Khang. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_a[Place of publication not identified] : _bChapman and Hall/CRC, _c2022. |
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| 300 | _a1 online resource (xii, 198 pages) | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 0 | _aChapman & Hall/CRC Cloud Computing for Society 5.0 | |
| 505 | 0 | _a1. Resource Allocation Techniques in Cloud ComputingKrishna Sowjanya K. and S.K. Mouleeswaran 2. Transforming Healthcare through Internet of ThingsDhanabalan Thangam, Anil B. Malali, Gopalakrishnan Subramanian, and Jin Yong Park3. IoT Motivated Cyber-Physical and Industrial Internet SystemsSaurabh Kumar and Nainsi Soni4. Internet of Things in E-commerce: A Thematic AnalysisPrateek Kalia5. Data Security and Privacy in Fog Computing ApplicationsNazeer Haider and Chandrashekhar Azad6. Energy-Efficient Cloud and Fog Computing in Internet of Things: Techniques and ChallengesAvita Katal and Vitesh Sethi7. Deployment of Distributed Clustering Approach in WSNs and IoTsRachna, Yogesh Chhabra, and Pankaj Bhambri8. Long Range IoT for Agricultural Acquisition through Cloud ComputingKalpana Murugan and Jenitha. R9. Resource Allocation with Task Scheduling in Cloud ComputingRanjan Kumar Mondal, Enakshmi Nandi, Payel Ray, and Debabrata Sarddar10. Service Availability of Virtual Machines in Cloud ComputingOpeyemi Osanaiye and Steve Adeshina11. Analysis of Security Challenges and Threats in Social Network and Cloud ComputingBindu Madavi K.P., P. Vijayakarthik12. Secured Trusted Authentication With Trust Based Congestion Scheme for V2V CommunicationJithendra H.N. and Rekha D.13. MQTT Protocol-based Wide Range Smart Motor Control for Unmanned Electric Vehicular Application: A Case Study in IoTArunava Chatterjee and Biswarup Ganguly14. IoT-based Water Quality Monitoring System using Cloud for Agriculture UseDhanalakshmi R., Jose Anand, Arun Kumar Sivaraman, and Sita Rani | |
| 520 | _aToday, relevant data are typically delivered to cloud-based servers for storing and analysis in order to extract key features and enable enhanced applications beyond the basic transmission of raw data and to realize the possibilities associated with the impending Internet of Things (IoT). To allow for quicker, more efficient, and expanded privacy-preserving services, a new trend called Fog Computing has emerged: moving these responsibilities to the network's edge. Traditional centralized cloud computing paradigms confront new problems posed by IoT application growth, including high latency, limited storage, and outages due to a lack of available resources. Fog Computing puts the cloud and IoT devices closer together to address these issues. Instead of sending IoT data to the cloud, the fog processes and stores it locally at IoT devices. Unlike the cloud, fog-based services have a faster reaction time and better quality overall. Fog Computing, Cloud Computing, and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications. Fog Computing, Cloud Computing, and Internet of Things are being suggested as potential research directions. Features: A systematic overview of the state-of-the-art in Cloud Computing, Fog Computing, and Internet of Things Recent research results and some pointers to future advancements in architectures and methodologies Detailed examples from clinical studies using several different data sets | ||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 | _aInternet of things. | |
| 650 | 0 | _aCloud computing. | |
| 650 | 7 |
_aCOMPUTERS _xInformation Technology. _2bisacsh |
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| 650 | 7 |
_aCOMPUTERS _xComputer Engineering. _2bisacsh |
|
| 700 | 1 |
_aBhambri, Pankaj, _eeditor. |
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| 700 | 1 |
_aRani, Sita, _eeditor. |
|
| 700 | 1 |
_aGupta, Gaurav _c(Computer science professor), _eeditor. |
|
| 700 | 1 |
_aKhang, Alex, _eeditor. |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/e/9781003213888 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c5062 _d5062 |
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