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020 _a9789819769988
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024 7 _a10.1007/978-981-97-6998-8
_2doi
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072 7 _aUMS
_2bicssc
072 7 _aCOM051460
_2bisacsh
072 7 _aUMS
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100 1 _aZhai, Yanlong.
_eauthor.
_0(orcid)0000-0002-0168-8308
_1https://orcid.org/0000-0002-0168-8308
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985741
245 1 0 _aEdge Computing Resilience
_h[electronic resource] :
_bOvercoming Resource Constraints in Unstable Computing Environments /
_cby Yanlong Zhai, Muhammad Mudassar, Liehuang Zhu.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXX, 127 p. 34 illus., 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5776
505 0 _aChapter 1. Edge Computing -- Chapter 2. Scalability and Fault Tolerance for Real-Time Edge Applications -- Chapter 3. Resource-constrained Offloading in Edge Computing -- Chapter 4. Privacy Preserving Offloading -- Chapter 5. SDN-Based and Energy Aware Offloading -- Chapter 6. Optimization for Edge -- Chapter 7. FutureWork.
520 _aEdge computing has emerged as a powerful technology for efficiently executing tasks by pushing cloud computing capabilities to the edge of the network. This approach significantly improves the quality of services of IoT applications and greatly enhances the performance of resource-constraint edge devices. However, with the explosive growth in users and data generation, low-computing-capability devices often struggle to meet computation demands in time, posing a significant challenge to the success of edge computing. These challenges include latency requirements, low computational power, system heterogeneity, energy constraints and privacy issues. To address these challenges, it is critical to design robust edge computing systems. This book provides a systematic and comprehensive analysis of edge computing challenges and presents resilient designs and frameworks suitable for real-time edge computing applications. The discussion primarily focuses on overcoming resource constraints in unstable edge computing environments, which is achieved through various concepts and technologies, such as fault handling, optimization and computation offloading. The book is significant to researchers in the field of edge computing, especially in the context of the resource-constrained paradigm, IoT application execution in the edge and fog computing. The book features innovative models and frameworks for processing time-critical, energy-aware and privacy-aware applications. By reading this book, researchers and professionals will gain a deeper understanding of different technologies and frameworks for edge computing and develop an appreciation for edge computing resilience. This resilience makes the edge system robust against frequent system failures for real-time IoT applications. The book provides a foundation for future research in this field and is an essential read for those seeking to advance their knowledge and expertise in edge computing.
650 0 _aMobile computing.
_964148
650 0 _aApplication software.
650 0 _aCooperating objects (Computer systems).
_964303
650 0 _aInternet of things.
_958845
650 1 4 _aMobile Computing.
_964148
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aCyber-Physical Systems.
_965638
650 2 4 _aInternet of Things.
_958845
700 1 _aMudassar, Muhammad.
_eauthor.
_0(orcid)0000-0003-4296-2809
_1https://orcid.org/0000-0003-4296-2809
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_985742
700 1 _aZhu, Liehuang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_983510
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819769971
776 0 8 _iPrinted edition:
_z9789819769995
830 0 _aSpringerBriefs in Computer Science,
_x2191-5776
_966578
856 4 0 _uhttps://doi.org/10.1007/978-981-97-6998-8
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