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PhD Theses in network performance

PhD Theses in network performance. Brighten Godfrey Srikanth Kandula Xiaowei Yang Ming Zhang. Hitesh Ballani Peter Bodik Nate Foster Craig Labovitz. For data analytics, what network functions are needed, where do you place them ?. (aka: Will Cisco survive?)

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PhD Theses in network performance

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  1. PhD Theses in network performance Brighten Godfrey Srikanth Kandula XiaoweiYang Ming Zhang Hitesh Ballani Peter Bodik Nate Foster Craig Labovitz

  2. For data analytics, what network functions are needed, where do you placethem? • (aka: Will Cisco survive?) • (aka: “OpenFlow makes Hadoop faster”) • * Resource allocation/ Flow prioritization/ Network Planning/ virtual middle-boxes

  3. What’s beyond a full bisection bandwidth core? * how big of a full bisection core network would you build or need? * the “edge” * failures

  4. Failures, as a first class citizen? • * No one failure should break the system • * Avoid obfuscating/ amplifying factors • - cascading failures • - load shedding • - TCP

  5. Will ultra-low latency networks change the game? • * One “computer” across many servers • ~ microseconds per hop • e.g., Bing, high frequency trading. Will a new class of apps benefit from ultra low latency? • In network, 2 level priority queues will solve the problem for low latency but not ultra low • Packet-level latency problem: mostly in host stacks? • Network control (e.g., TE) latency more of an issue

  6. Testing Production Applications • A “failure monkey” to “flight” applications end-to-end • * for configuration checking • * for grey failures? • * built-in support for audit

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