Cases on Edge Computing and Analytics
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| Title: | Cases on Edge Computing and Analytics |
|---|---|
| Description: | Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing. |
| Authors: | Paranthaman Ambika, A. Cecil Donald, A. Dalvin Vinoth Kumar |
| Resource Type: | eBook. |
| Subjects: | Edge computing--Case studies, Internet of things--Case studies |
| Categories: | COMPUTERS / Artificial Intelligence / General, COMPUTERS / Internet / General, COMPUTERS / Distributed Systems / Cloud Computing |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Cases on Edge Computing and Analytics – Name: Abstract Label: Description Group: Ab Data: Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Paranthaman+Ambika%22">Paranthaman Ambika</searchLink><br /><searchLink fieldCode="AR" term="%22A%2E+Cecil+Donald%22">A. Cecil Donald</searchLink><br /><searchLink fieldCode="AR" term="%22A%2E+Dalvin+Vinoth+Kumar%22">A. Dalvin Vinoth Kumar</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Edge+computing--Case+studies%22">Edge computing--Case studies</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things--Case+studies%22">Internet of things--Case studies</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Internet+%2F+General%22">COMPUTERS / Internet / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Distributed+Systems+%2F+Cloud+Computing%22">COMPUTERS / Distributed Systems / Cloud Computing</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 004.678 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Edge computing--Case studies Type: general – SubjectFull: Internet of things--Case studies Type: general Titles: – TitleFull: Cases on Edge Computing and Analytics Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Paranthaman Ambika – PersonEntity: Name: NameFull: A. Cecil Donald – PersonEntity: Name: NameFull: A. Dalvin Vinoth Kumar – PersonEntity: Name: NameFull: Paranthaman Ambika – PersonEntity: Name: NameFull: A. Cecil Donald – PersonEntity: Name: NameFull: A. Dalvin Vinoth Kumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2021 – D: 30 M: 01 Type: profile Y: 2021 Identifiers: – Type: isbn-print Value: 9781799848738 – Type: isbn-electronic Value: 9781799848745 – Type: isbn-electronic Value: 9781799848752 Titles: – TitleFull: Cases on Edge Computing and Analytics Type: main |
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