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Transforming Network Analytics: Reprogramming for People-Level Insights

This proposal discusses the need for integrating people-level network analytics to tailor user workload characteristics effectively. Led by Nishanth Sastry from King's College London, the initiative seeks to address why this focus should be on EPSRC's agenda now, emphasizing the timeliness and novelty of the approach. By leveraging programmable networks and social media as launchers for analytics, we can enhance content placement and optimize user experiences. We aim to bridge the gap between flow-level programmability and people-level information, ensuring networks adapt dynamically to user behavior and preferences.

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Transforming Network Analytics: Reprogramming for People-Level Insights

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  1. People-level network analytics Monitor user workload characteristics Tailor (reprogram) network based on this Nishanth Sastry King’s College London

  2. Why this should be on EPSRC’s agenda? • Why now [Timeliness ] • New closed loops allow people-level analytics • IPTV, Catch-up TV, shortened URLs (bit.ly), Google analytics… • Social media as URL launchers == “analytics plane” • Networks programmable as never before (SDN) • Why UK [Novelty and ambition ] • strong in reprogramming of networks • (all of session one!) • Strong in analytics/measurements • (several in this room itself – you know who you are!) • Bring them together and make a difference!

  3. People-Analytics Driven Network Designs • Social network information for content placement • For timing push of news updates: TailGate (WWW’12) • Selective replication:Scellato et al (WWW’11), Buzztraq • Easy to predict what you watch on Catch-up! • Speculative recording of people’s favouriteprogrammes can halve BBC iPlayer network footprint (WWW’13) • Adult video - people flexible on what to watch, so long as they have not seen it before (IMC’13) • Need to replace most watched vids for returning users! • Need to reconsider LRU policies in this setting

  4. Research issues • Integrating people-level info with flow-level programmability and virtualisation constructs • Granularity of “people-level” info different from SDN • Need new programming models/adapters • Reliability of data/noisiness • Heterogeneity (Heavy users/light users, different geographical densities) • Extending to support cellular networks • Programmability is a completely different ball game • Machinecharacteristics-driven M2M networks?

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