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Overlay Infrastructure

Explore innovative approaches in data sharing, resource discovery, and network management through DHTs and QoS overlays. Address challenges in achieving predictable network performance and managing software across diverse locations.

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Overlay Infrastructure

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  1. Overlay Infrastructure Hari Balakrishnan MIT Laboratory for Computer Science http://nms.lcs.mit.edu/ron/

  2. 4 Interesting Areas • Data sharing / resource discovery / data management apps • Build on DHTs • Location: PCs in homes, labs, … • Driver: cooperative, secure archiving (e.g., CVS) and backup service for all our data • New routing & forwarding models • Content routing, RON, OverQoS (QoS overlays) • Location: network “edges”; key is AS diversity • Driver: Predictable network performance, e.g., for previous set of apps • Measurement research • Set up a large-scale overlay for monitoring network performance • Location: “Deep in the network”, at colo’s, etc. • Driver: How well is our prediction doing; how could we do better? • Internet-wide ASPs • Serving software (e.g., “HTTP-based virtual memory”) • Location: Edges / datacenters • Driver: Managing and upgrading software on all our handhelds, desktops, laptops • 1 line research goal: let’s design predictable systems

  3. Challenges • Research • Getting predictability • Design for “flux”: system will have no steady state • Logistics • The 4 (and more) areas have pretty diverse requirements • Management (cf. RON/Chord experience)

  4. RON Deployment (19 sites) To vu.nl lulea.se ucl.uk To kaist.kr, .ve .com (ca), .com (ca), dsl (or), cci (ut), aros (ut), utah.edu, .com (tx) cmu (pa), dsl (nc), nyu , cornell, cable (ma), cisco (ma), mit, vu.nl, lulea.se, ucl.uk, kaist.kr

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