DSConf 2019: Applying The Universal Scalability Law to Distributed Systems (video)

[DrQ]

When I originally developed the Universal Scalability Law (USL), it was in the context of tightly-coupled Unix multiprocessors, which led to an inherent dependency between the serial contention term and the data consistency term in the USL, i.e., no contention, no coherency penalty. A decade later, I realized that the USL would have broader applicability to distributed clusters if this dependency was removed [3]. In this talk I will show examples of how the most recent version of the USL, with three parameters α, β, γ, can be applied as a statistical regression model to a variety of large-scale distributed systems, such as Hadoop, Zookeeper, Sirius, AWS cloud, and Avalanche DLT, in order to quantify their scalability in terms of numerical concurrency, contention, and coherency values.

• Slides
  
• Video
  

Distributed Systems Conference

16 February 2019   |   Pune