Ipfs Protocol Engineering
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IPFS Protocol Engineering
"IPFS Protocol Engineering" "IPFS Protocol Engineering" offers an authoritative, in-depth exploration of the InterPlanetary File System’s core architectural design, its principal protocols, and the engineering trade-offs behind modern decentralized storage networks. From the fundamental motivations for moving beyond traditional client-server storage to the technical intricacies of content addressing, this book illuminates the building blocks of IPFS with clarity and precision. Readers are guided through the principles of immutability, global addressing, and security, while examining IPFS’s place alongside other peer-to-peer and centralized storage systems. Across its comprehensive chapters, the book delves into the nuts and bolts of IPFS, unpacking its core data structures, distributed hash tables, peer-to-peer networking via libp2p, and the subtleties of block management and deduplication. The expansive coverage extends to practical considerations in file system abstraction, mutable data systems, advanced routing, secure communication, and decentralized identity. Specialized sections also address protocol extensions, interoperability strategies, HTTP gateway architectures, and standards collaborations, establishing a broad foundation for both protocol implementers and power users. Security, operations, and scalability are treated as first-class topics, with expert analysis of cryptographic primitives, threat modeling, authentication, and auditing practices. The work culminates in hands-on guidance for deploying, operating, and scaling IPFS in production—detailing observability, orchestration, performance tuning, upgrade management, and community governance. Whether you are an engineer building on top of IPFS, a system architect evaluating distributed storage, or a researcher seeking to understand next-generation protocol design, this book serves as an indispensable technical reference.
Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
This is an open access book.The 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) is to be held on July 21-23, 2023 at Qingdao, China. ICMSSE is China's annual conference since 2021. It was held in Chengdu, Chongqing from 2021 to 2022. Every year, there are many attendees from Asia, Europe, America, etc., and quite a few well-known experts give plenary speeches. Management science and engineering is a discipline that comprehensively uses systems science, management science, mathematics, economics and behavioral science and engineering methods, combined with information technology to study and solve management problems in society, economy, engineering and other aspects. In addition to the current situation of management science at home and abroad discussed in the first two sessions, this session realized that with the development of science and technology, the intersection of disciplines, coupled with the continuous expansion of the field of management science and engineering research, for online risk management (ERB, BRP system) and virtual organizations, virtual enterprises, etc., will become the focus of management science and engineering research in the future. This conference will also conduct in-depth research on these aspects, hoping to further promote the economic development of enterprises and provide them for their development. more clear direction and guidance.
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications
This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, held in Quy Nhon, Vietnam, in November 2020.* The 29 full papers and 8 short were carefully reviewed and selected from 161 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data management systems and applications; and short papers: security and data engineering. * The conference was held virtually due to the COVID-19 pandemic.