用于大规模流量测量的点对点系统

Hélder Veiga, R. Valadas, P. Salvador
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引用次数: 0

摘要

由于应用的庞大和日益多样化、用户行为和用户与设备的移动性的巨大差异、流量产生和控制机制的复杂性以及链路类型和质量的日益多样化,互联网流量的特征变得越来越复杂。在这样的环境中,网络管理任务将不可避免地严重依赖于(实时)流量测量。由于需要处理和存储大量的数据,测量平台必须变得更加分布式,以实现测量数据的分散存储、复制和高效检索。本文描述了一种基于动态分层叠加、高度适应资源约束、提供测量数据复制的点对点架构的分布式流量测量系统的规范、开发和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A peer-to-peer system for large scale traffic measurements
The characteristics of Internet traffic are becoming more and more complex due to the large and growing diversity of applications, the drastic differences in user behaviors and the mobility of users and devices, the complexity of traffic generation and control mechanisms, and the increasing diversity of link types and qualities. In such an environment, it is inevitable that network management tasks will rely heavily on (real-time) traffic measurements. Due to the large amounts of data that need to be processed and stored, measurement platforms have to become more distributed, allowing for scattered storage, replication and efficient retrieval of measurement data. This paper describes the specification, development and evaluation of distributed traffic measurement system with a peer-to-peer architecture, based on dynamic hierarchical overlay, highly adaptive to resource constraints, and providing replication of measurement data.
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