Using the ΔQ calculus to model blockchain scalability

Blockchain is a distributed application whose longevity depends upon it being scalable. How can we know if we’re betting on a winner? Use ∆Q calculus!

Dr Neil Davies, Chief Scientist of Predictable Network Solutions Ltd

Two of the talks from December’s Scientific Network Management for Cloud Computing workshop were recorded on video. The first one is an overview of the new Overture ∆Q testbed to model the performance envelope of any application, and to simulate any deployment environment.

The second one, which is the subject of this announcement, is on a highly topical and mainstream subject, namely blockchain. Applications like bitcoin depend upon this underlying information infrastructure being scalable. How can we know blockchain scales?

The answer is the ∆Q calculus, whose principal creator is Dr Neil Davies of Predictable Network Solutions Ltd. This framework uniquely allows you to accurately model the performance of complex distributed systems, and to do it before they are even built.

These are precisely the techniques that are required (and previously missing) to model 5G networks and SDN/NFV, so their applicability is wide and their significance is great. Whilst the presentation is, necessarily, highly technical in nature, it is also a rare opportunity to see someone working at the extreme forefront of computer science presenting breakthrough ideas.


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