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Analysis

Randomized Load Balancer with the Power of Two Choices

FreeVerified credential3 weeksAdvanced

Overview

What this challenge is about.

Simulate four load-balancing policies on a 4.1-billion-event trace, compare P2C with EWMA against theoretical bounds, and earn your verifiable certificate.

The scenario

The company (around USD 1.1B ARR, freemium consumer app with paid creator tier) competes on chat latency — every 100 ms at the p99 correlates with a measurable retention drop in their A/B history.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Quantify the tail-latency improvement of power-of-two-choices load balancing vs random-1 on a 4.1-billion-event trace and recommend a production rollout policy.

Earning criteria — what you'll demonstrate

  • Implement and reason about the Mitzenmacher 'power of two choices' result
  • Build a discrete-event simulator that respects real trace inter-arrival times
  • Read tail-latency CDFs and connect distribution shape to load-balancing policy
  • Translate simulation results into a defensible production rollout plan

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Aligned coursework coming soon.

One more thing

You can put a credential on your CV by Friday.