A Peer to Peer Approach to Large Scale Information Monitoring

今天，许多应用程序都需要跟踪更改，并在满足某些更新阈值时通知用户更改。然而，大规模的新鲜信息传递系统得到的系统软件支持非常有限。本研究旨在探讨建立分散式点对点（P2P）信息监控系统的研究议题与评估方法。PI计划在对等协议层开发一套系统设施，以支持大规模对等信息监控应用。具体而言，本研究项目将分两个连续阶段进行。首先，它将进行一个可扩展的对等网络协议及其支持系统架构的设计和评估的研究问题的系统研究。其次，本项目将深入研究构建互联网规模的对等信息监控系统PeerCQ的技术和工程问题。感兴趣的具体问题包括异构对等体之间的负载平衡，系统利用率，高效，可扩展和可靠的大量信息监控请求的处理机制。PeerCQ原型将作为开源软件交付，以促进和加强对等计算和分布式信息监控方面的研究和教育。在这个项目中开发的方法和算法将有助于工程，实施和评估对等信息监控应用程序在真实的世界。

Many applications today have the need for tracking changes and notifying users of changes when certain update thresholds are met. However, large-scale fresh information delivery systems have received very limited system software support. The proposed research aims at investigating research issues and evaluation methods for building decentralized Peer-to-Peer (P2P) information monitoring systems. The PI plans to develop a suite of system facilities at the Peer-to-Peer protocol layer to support large scale peer-to-peer information monitoring applications. Concretely, this research project will be carried out in two consecutive phases. First, it will undertake a systematic study of research issues in design and evaluation of a scalable peer-to-peer protocol and its supporting system architecture. Second, the project will conduct an in-depth investigation of technical and engineering issues in constructing an Internet-scale peer-to-peer information monitoring system PeerCQ. Specific issues of interest include load balance among heterogeneous peers, system utilization, mechanisms for efficient, scalable, and reliable processing of large numbers of information monitoring requests. The PeerCQ prototype will be delivered as an open source software to promote and enhance research and education in peer-to-peer computing and distributed information monitoring. The methodology and algorithms developed in this project will aid in the engineering, implementation, and evaluation of peer-to-peer information monitoring applications in real world.