Why are all architectural problems from 2000 still unsolved? How would we know we had solved socio-economic problems anyway? Bob Briscoe Chief Researcher,

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Presentation transcript:

Why are all architectural problems from 2000 still unsolved? How would we know we had solved socio-economic problems anyway? Bob Briscoe Chief Researcher, BT Group Apr 2007

2 you can’t have your dessert until you’ve eaten your vegetables careful not to invent problems to fit the research we want to do research agenda since DARPA NewArch (2000) all still unsolved ‘solved’ = rough consensus and deployable code (ideally all solutions coherent) routing, naming, addressing (n) policy controls on inter-provider routing robustness & availability, inc mobility reachability through middleboxes resource control (0)* highly time-variable resources capacity allocation extremely long propagation delays heterogeneity –cross-cutting agenda enabling conflicting socio-economic outcomes (0) enabling a variety of technical outcomes (n) management (0) policy-driven auto-configuration failure management security (n) attack resilience traceability * resource control: 0 projects in NSF NeTS FIND 1 retrospective paper in SIGCOMM’06

3 networks research – enduring tensions design for tussle between outcomes in this space not just self-supply (p2p, ad hoc) –but co-existence of ad hoc and managed services not just endpoint control –but co-existence of end control and edge (middlebox) control not just individual security / privacy –but co-existence of individual freedom and social/corporate control balance between approaches determined by natural selection market or social (e.g. government) control society & the economy: shaping the Internet and shaped by the Internet requires multidisciplinary research teams imposing your political values through your design just means your design will get distorted (if it’s ever deployed) fine in theory, but where’s the practice? [3] [4] viability responsibility freedom scalability commercial simple secure evolvable [3] Briscoe “Designing for tussle; case studies in control over control ” (2004) [4] Communications Futures Programme & Communications Research Network

4 heterogeneity = multiple architectures? heroic tussle or pathetic indecision? yes, at architecture design time yes for testbeds but, a spin-off from testbeds for real-life run-time? Please, no! for connected internetwork flows and routes must traverse all architectures inter-architecture resource control? routing? can’t even solve these problems for one inter-domain architecture do we hear end-customers & app developers saying “If only we had multiple architectures”? partitioned architectures architecture gateway app written to multiple APIs

5 implications for testbed design overlays not useful for e2e resource control expts fine if focusing purely on naming, addressing, routing care! architecture research will eventually need to be integrated traditional view of infrastructure testbed problem need real applications, real users the fault in the Internet is the fault in our expts our assumptions about operators, businesses, info svcs depts we need real operators, real businesses, real info svcs depts –set policies with their own reputations and resources at stake the prize is true convergence, 3GPP/IMS, mesh, ISPs, NGNs varying outcomes at the same time: ‘design for tussle’

spare slide my research agenda Q&A

7 rebalancing research agenda priorities global scale asynchronous event messaging short co-ordination /control messages (discovery, notification, synch, config) control/co-ordination for lower layers (config, routing, failures) as well as apps connecting the physical world to the information world – the Internet of things overlay multicast not panacea for state scaling & many other problems [1] resource allocation / congestion control / fairness longest lasting architectural vacuum – becoming acute flow equality goal (TCP) root cause of many problems [2] –solutions [3] have been obscured by this dogma hi acceleration for hi-speed short flows [1] Briscoe “The Implications of Pervasive Computing on Network Design” (2006) [2] Briscoe “Flow rate fairness: Dismantling a religion” (Oct 2006) [3] Briscoe et al “Re-feedback and re-ECN”

8 in summary eat your vegetables then you can have your dessert have as much spice as you want on your vegetables classic distributed computing problems to solve avoid sexy research fashions active networks, multihop wireless, p2p overlays unless treated as exemplars of the classic problems instead sex up the classic problems with some tussle