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Min-Cost Max-Flow for Cloud Workload Placement

FreeVerified credential4 weeksExpert

Overview

What this challenge is about.

Implement min-cost max-flow for cloud workload placement and benchmark against a greedy baseline. Earn your verifiable certificate.

The scenario

The provider (around USD 110M ARR, infrastructure-as-a-service for European fintechs) has a CTO who wants the math defensible before committing — they have been burned by 'just use a heuristic' twice.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

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

Replace a greedy workload placer with a min-cost max-flow formulation that respects affinity rules and beats the baseline on bandwidth cost and zone balance.

Earning criteria — what you'll demonstrate

  • Model a real placement problem as min-cost max-flow with affinity edges
  • Implement a polynomial-time min-cost flow algorithm without a solver
  • Benchmark a flow-based solution against a greedy heuristic at scale
  • Defend network-flow modeling choices to senior engineering leadership

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Advanced Algorithms

Master · Algorithms

Strong alignment

This challenge maps to Advanced Algorithms at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.

Min-Cost Max-Flow for Cloud Workload Placement | Ewance Challenge