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派博传思国际中心 »期刊书目

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› BOOKS with Alphabet E (Ea, Eb,Ec, Ed, Ee…... )

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Titlebook: Edge Computing Resilience; Overcoming Resource Yanlong Zhai,Muhammad Mudassar,Liehuang Zhu Book 2024 The Editor(s) (if applicable) and The

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书目名称Edge Computing Resilience
副标题Overcoming Resource
编辑Yanlong Zhai,Muhammad Mudassar,Liehuang Zhu
视频video
概述Boost edge device performance with fault handling, optimization and offloading schemes for resource constraints.Conducts a thorough analysis and provides efficient techniques for achieving resilience
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: Edge Computing Resilience; Overcoming Resource Yanlong Zhai,Muhammad Mudassar,Liehuang Zhu Book 2024 The Editor(s) (if applicable) and The
描述.Edge 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 researche
出版日期Book 2024
关键词Computational Offloading; Edge Computing; Edge Resilience; Fault Tolerance; Optimization
版次1
doihttps://doi.org/10.1007/978-981-97-6998-8
isbn_softcover978-981-97-6997-1
isbn_ebook978-981-97-6998-8Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Menschenrechte und europäische Außenpolitikated disturbances. Readers will be well-prepared for a journey into the complex world pertaining to edge computing and its prospects to revolutionize the field of information technology by the end of this chapter.
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https://doi.org/10.1007/978-3-658-26598-4sually deployed individually and normally separate from each other having different capabilities and requirements. The lack of redundancy plan during device deployment makes fault tolerance and scaling operations more important for the edge-computing environment. This chapter discusses in detail the
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发表于 2025-3-22 10:52:30 | 显示全部楼层
Wolfgang Benedek,Minna Nikolova-Kressuding data transfer metrics, wireless transmission techniques, and offloading destination selection schemes. In this chapter, we address privacy and latency issues in the context of offloading computations to the edge-cloud computing environment. Our solution focuses on leveraging the power of induc
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https://doi.org/10.1007/978-3-322-93777-3 goes through how important tools for profiling, benchmarking, tracing, containerization, and the newly developed field of edge analytics are for determining how efficient and effective edge computing systems are. By the end of this chapter, readers will have a thorough grasp of the complex field of
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Scalability and Fault Tolerance for Real-Time Edge Applications,sually deployed individually and normally separate from each other having different capabilities and requirements. The lack of redundancy plan during device deployment makes fault tolerance and scaling operations more important for the edge-computing environment. This chapter discusses in detail the
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Privacy Preserving Offloading,uding data transfer metrics, wireless transmission techniques, and offloading destination selection schemes. In this chapter, we address privacy and latency issues in the context of offloading computations to the edge-cloud computing environment. Our solution focuses on leveraging the power of induc
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Optimization for Edge Computing, goes through how important tools for profiling, benchmarking, tracing, containerization, and the newly developed field of edge analytics are for determining how efficient and effective edge computing systems are. By the end of this chapter, readers will have a thorough grasp of the complex field of
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