HomeCategoriesDistributed & Parallel Computing

💻 Distributed & Parallel Computing

Consensus algorithms, bloom filters, consistent hashing, load balancing, CPU scheduling and classic concurrency problems.

27 simulations60 fps real-time0 install steps
Distributed ConsensusNewRaft consensus algorithm, CAP theorem and Byzantine fault tolerance in distributed systems. Bloom Filter — Probabilistic Set MembershipNewA Bloom filter tests set membership with k hash functions over a bit array: no false… Consistent Hashing — The Hash RingNewMap keys and servers onto a hash ring so adding or removing a node only remaps a small… Load Balancer — Request Distribution PoliciesNewRoute incoming requests across backend servers with round-robin, least-connections, weighted… CPU Scheduling — FCFS, SJF, Round RobinNewSchedule processes on a CPU with FCFS, SJF, priority and round-robin policies. An animated… Page Replacement — LRU, FIFO & OptimalNewRun a reference string through FIFO, LRU, Clock and Optimal page-replacement policies,… Dining Philosophers — Deadlock & ConcurrencyNewFive philosophers share five forks: grab both naively and they deadlock. Toggle resource… The Paxos Consensus Protocol: How Distributed Systems Agree on One ValueNewExplore how the Paxos consensus protocol lets unreliable, message-losing nodes agree on a… Vector Clocks: Ordering Events Without a Shared ClockNewLearn how vector clocks let distributed machines figure out which events caused which,… Two-Phase Commit: How Distributed Databases Agree to Commit or Abort TogetherNewExplore the two-phase commit protocol that lets distributed databases guarantee atomicity… The Circuit Breaker Pattern: Stopping Cascading Failures in Software SystemsNewExplore how the circuit breaker pattern, borrowed from electrical engineering, protects… The Bully Algorithm: Electing a Leader in a Distributed System by Highest IDNewExplore the classic Bully Algorithm for leader election in distributed systems, tracing the…
Chain Replication: A Simpler Way to Keep Distributed Data ConsistentNewExplore chain replication, the 2004 van Renesse and Schneider technique that arranges… MVCC: How Databases Let Readers and Writers Work Without Blocking Each OtherNewExplore Multi-Version Concurrency Control (MVCC), the technique behind PostgreSQL, MySQL… Write-Ahead Logging: How Databases Survive a CrashNewExplore write-ahead logging (WAL), the protocol that lets PostgreSQL, MySQL, and filesystems… CRDTs: Merging Data Without a Central CoordinatorNewExplore conflict-free replicated data types, distributed data structures that let… Gossip Protocol: How Clusters Spread Information Like an EpidemicNewExplore gossip protocols, where nodes randomly exchange state with peers so updates spread… Rendezvous Hashing: Highest Random Weight AssignmentNewExplore Rendezvous Hashing (Highest Random Weight), a ring-free technique where every node… Hybrid Logical Clocks LabNewExplore Hybrid Logical Clocks (HLC), a timestamping scheme that blends physical wall-clock… The Chandy-Lamport Distributed Snapshot AlgorithmNewExplore how the Chandy-Lamport algorithm captures a consistent global snapshot of a… Kademlia Distributed Hash TableNewExplore how Kademlia lets thousands of peers find data without any central server, using XOR… Google Spanner's TrueTime API: Turning Clock Uncertainty into a Global GuaranteeNewExplore how Google Spanner's TrueTime API exposes clock uncertainty as an explicit time… Apache Airflow DAG SchedulerNewWatch an Airflow-style scheduler walk a directed acyclic graph of tasks: eligible tasks… Apache Spark Distributed ExecutionNewWatch a Spark job run: a driver splits stages into tasks, ships them to executors that run… API Request Lifecycle Simulator: Gateway, Rate Limiting, Auth & MicroservicesNewWatch REST API requests flow from a client through an API Gateway into three microservices… Distributed Computing - Comprehensive GuideNewThis simulation provides a foundational understanding of distributed computing principles.… Distributed Systems — Consistency, Availability, and Partition ToleranceNewThis simulation focuses on distributed system design principles. It illustrates the…
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Distributed & Parallel Computing

Consensus algorithms, bloom filters, consistent hashing, load balancing, CPU scheduling and classic concurrency problems.

Three.js · WebGL 60 FPS CC BY 4.0
Quick facts
27interactive simulations in this category
runs at 60 FPS in any modern browser
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Frequently asked questions

Do I need to install anything to run Distributed & Parallel Computing simulations?

No. Everything runs entirely in your browser — no downloads, plugins or accounts. Works in Chrome, Firefox, Edge and Safari; most simulations also work on mobile.

Can I use these simulations for teaching?

Yes — all content is free for educational use under CC BY 4.0. Link to any simulation directly or embed it in your LMS with an iframe; no API key required.

Are the models scientifically accurate?

They use the same mathematical formulations as professional software, integrated numerically in real time. Each simulation lists its algorithms, and many link to an article explaining the mathematics.

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