PracHub
QuestionsPremiumLearningGuidesInterview PrepNEWCoaches
|Home/Coding & Algorithms/Google

Design server allocation for multi-type nodes

Last updated: Mar 29, 2026

Quick Overview

This question evaluates understanding of scalable resource-allocation and matching systems, encompassing data-structure and index design, availability tracking, fragmentation minimization, concurrency control, and failure handling for large node pools.

  • Medium
  • Google
  • Coding & Algorithms
  • Software Engineer

Design server allocation for multi-type nodes

Company: Google

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: Medium

Interview Round: Technical Screen

Design a service to manage a large pool (about 100, 000) of server nodes. Each node can satisfy multiple instance types; clients call getServer(reqNumOfServer, instanceTypes[]) to request servers that collectively meet the requested types, and returnServer(ids[]) to release them. Propose data structures and indexes for fast matching, availability tracking, fragmentation minimization, and scaling. Address concurrency, starvation, and failure handling.

Quick Answer: This question evaluates understanding of scalable resource-allocation and matching systems, encompassing data-structure and index design, availability tracking, fragmentation minimization, concurrency control, and failure handling for large node pools.

Related Interview Questions

  • Solve Flower Placement and Directory Deletion - Google (medium)
  • Compute Turnstile Crossing Times - Google (hard)
  • Simulate In-Place Cellular State Updates - Google (hard)
  • Determine Whether a Word Exists in a Graph - Google (medium)
  • Implement Checksums and Feature Rollout Evaluation - Google (medium)
Google logo
Google
Sep 6, 2025, 12:00 AM
Software Engineer
Technical Screen
Coding & Algorithms
3
0

Design a service to manage a large pool (about 100, 000) of server nodes. Each node can satisfy multiple instance types; clients call getServer(reqNumOfServer, instanceTypes[]) to request servers that collectively meet the requested types, and returnServer(ids[]) to release them. Propose data structures and indexes for fast matching, availability tracking, fragmentation minimization, and scaling. Address concurrency, starvation, and failure handling.

Comments (0)

Sign in to leave a comment

Loading comments...

Browse More Questions

More Coding & Algorithms•More Google•More Software Engineer•Google Software Engineer•Google Coding & Algorithms•Software Engineer Coding & Algorithms
PracHub

Master your tech interviews with 7,500+ real questions from top companies.

Product

  • Questions
  • Learning Tracks
  • Interview Guides
  • Resources
  • Premium
  • For Universities
  • Student Access

Browse

  • By Company
  • By Role
  • By Category
  • Topic Hubs
  • SQL Questions
  • Compare Platforms
  • Discord Community

Support

  • support@prachub.com
  • (916) 541-4762

Legal

  • Privacy Policy
  • Terms of Service
  • About Us

© 2026 PracHub. All rights reserved.