A Network Management System for Handling Scientific Data Flows

作者：Yan Zhenzhen; Tracy Chris; Veeraraghavan Malathi^*; Jin Tian; Liu Zhengyang

来源：Journal of Network and Systems Management, 2016, 24(1): 1-33.

DOI：10.1007/s10922-014-9336-2

• NetFlow traffic analysis
• Elephant flows
• Scientific computing
• Research and education networks (RENs)
• MPLS
• Virtual circuits

Large scientific data transfers often occur at high rates causing increased burstiness in Internet traffic. To limit the adverse effects of these high-rate large-sized flows, which are referred to as flows, on delay-sensitive audio/video flows, a network management system called Alpha Flow Traffic Engineering System (AFTES) is proposed for intra-domain traffic engineering. An offline approach is used in which AFTES analyzes NetFlow records collected by routers, extracts source-destination address prefixes of flows, and uses these prefixes to configure firewall filters at ingress routers of a provider's network to redirect future flows to traffic-engineered paths and isolated queues. The effectiveness of this scheme was evaluated through an analysis of 7 months of NetFlow data obtained from an ESnet router. For this data set, 91 % of bytes generated by flows during high-rate intervals would have been directed had AFTES been deployed. The negative aspect of using address prefixes in firewall filters, i.e., the redirection of flows to -flow paths/queues, was also quantified.

• 出版日期2016-1