Overlay Infrastructure

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 colos, 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 lets 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