边缘计算的弹性和冗余性

English | 2024 | ISBN: 978-981-97-6998-8 | 139 pages | PDF EPUB (True) | 12 MB

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 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.

边缘计算已成为一种强大的技术，通过将云计算能力推向网络边缘来高效执行任务。这种方法显著改善了物联网应用的服务质量，并极大地增强了资源受限的边缘设备的性能。然而，在用户和数据生成量激增的情况下，低算力设备经常难以在时间上满足计算需求，给边缘计算的成功带来了重大挑战。这些挑战包括延迟要求、低计算能力、系统异构性、能源约束和隐私问题。为解决这些问题，设计稳健的边缘计算系统至关重要。 本书提供了一套全面而系统的边缘计算挑战分析，并提出了适合实时边缘计算应用的坚固设计与框架。讨论主要集中在克服不稳定边缘计算环境中的资源限制上，这是通过各种概念和技术实现的，例如故障处理、优化和计算卸载。 对于边缘计算领域的研究人员来说，特别是考虑到资源受限范式下的边缘和雾计算中的物联网应用程序执行，本书具有创新性的模型和框架适用于处理时间敏感、能源感知以及隐私感知的应用。通过阅读这本书，研究人员和技术人员将获得对边缘计算不同技术和框架的更深入理解，并培养对边缘计算韧性的欣赏。这种韧性使得边缘系统能够抵御频繁出现的实时物联网应用故障。本书为这一领域的未来研究提供了基础，并且对于希望在这个领域深化知识和专长的人们来说，是一本不可或缺的读物。

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