"解析计算机后端两层对等计算系统架构与概率搜索"

The document "计算机-后端-两层对等计算系统架构与概率搜索.pdf" discusses the architecture and probability search in a two-layer peer-to-peer computing system. Peer-to-peer computing has gained popularity in both academia and industry, leading to the development of various applications such as file sharing, data sharing, CPU cycle sharing, and instant messaging. Unstructured peer-to-peer systems offer advantages such as decentralization, self-organization, autonomy, robustness, and low maintenance cost. However, these systems suffer from low search efficiency and poor scalability. The thesis aims to address the shortcomings of unstructured peer-to-peer systems by proposing a two-layer architecture combined with probability search. The two-layer architecture consists of a lower layer responsible for managing the individual peers and data storage, and an upper layer responsible for coordinating search requests and optimizing search efficiency. By utilizing probability search, the system aims to improve search efficiency and scalability by probabilistically selecting peers and data replicas to search for requested information. Overall, the document emphasizes the importance of addressing the limitations of unstructured peer-to-peer systems and proposes a two-layer architecture combined with probability search as a potential solution. It explores the potential benefits of this approach and provides insights into the challenges and opportunities in the field of peer-to-peer computing.