| Document Date: 2013-06-04 19:19:52
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City Testbed / New York / / Company IBM / Amazon / Google / Cisco / ComputerCommunication Networks / Broadcom / SWAN / Allocation LP / Microsoft / / Country China / / Currency pence / USD / / / Facility OpenFlow pipeline / / IndustryTerm loose bandwidth-hungry services / search function / query-responder services / Background services / Elastic services / wide area network / rule management / higher-priority services / non-interactive services / basic solution / individual services / switch hardware / border routers / internal services / Internet traffic / it hard to fully use network / tunnel selection algorithm / internal router / feasible solution / binary search / Web-crawler / approximate solution / ingress routers / congestion-free solution / Post-processing / α-approximation algorithm / online use / computing / Partial solutions / change management / similar services / non-dynamic solution / inter-datacenter networks / / OperatingSystem Windows Server / / Organization Data Center / / Person Max-Min Fairness / Ming Zhang Vijay Gill Mohan / Consider Figure / Min Fair / Chi-Yao Hong (UIUC) Srikanth Kandula Ratul Mahajan / Vijay Gill Mohan Nanduri Roger Wattenhofer / / Position broker / logically centralized controller / Service broker / global resource controller / Floodlight OpenFlow controller / Major / controller / / Product Floodlight OpenFlow / / ProgrammingLanguage DC / / ProvinceOrState Manitoba / / Technology Multiprotocol Label Switching / internal router / ingress routers / Quality of Service / WAN / PDF / α-approximation algorithm / Ethernet / LP-based algorithm / tunnel selection algorithm / two WAN routers / ISP / MPLS / border routers / /
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Achieving High Utilization with Software-Driven WAN Chi-Yao Hong (UIUC) Srikanth Kandula Ratul Mahajan Ming Zhang Vijay Gill Mohan Nanduri Roger Wattenhofer (ETH) Microsoft Abstract— We present SWAN, a system that boos