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Min-Cost Max-Flow for Cloud Workload Placement

FreeVerified credential4 weeksExpert

Overview

What this challenge is about.

Min-Cost Max-Flow for Cloud Workload Placement. Expert-level challenge in code. Writing production code that solves real engineering problems, earn a blockch...

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.

This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.

When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."

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.