AvalehtKategooriadHajus- ja paralleelarvutus

💻 Hajus- ja paralleelarvutus

Konsensusalgoritmid, bloom-filtrid, järjepidev räsimine, koormuse jaotamine, protsessori ajastamine ja klassikalised samaaegsusprobleemid.

32 simulatsioonid60 fps reaalajas0 paigaldamise sammud
Blockchain Mining & ConsensusNewInteractive 3D simulation of proof-of-work mining and longest-chain consensus: independent… CAP Theorem Cluster SimulatorNewInteractive CAP theorem simulator: split a replicated node cluster with a network partition… Cloud vs Edge Latency SimulatorNewInteractive 3D race between a cloud round trip and on-device edge processing: watch… Blockchain Network SimulatorNewInteractive 3D peer-to-peer gossip network: watch nodes mine and propagate blocks hop by hop… IoT Message Broker SimulatorNewInteractive 3D model of an IoT platform's message broker: tune connected device count,… 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… 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… 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… Distributed ConsensusNewRaft consensus algorithm, CAP theorem and Byzantine fault tolerance in distributed systems.
Kategooria kohta

Hajus- ja paralleelarvutus

Konsensusalgoritmid, bloom-filtrid, järjepidev räsimine, koormuse jaotamine, protsessori ajastamine ja klassikalised samaaegsusprobleemid.

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Kas Hajus- ja paralleelarvutus simulatsioonide käivitamiseks pean midagi installima?

Ei. Kõik toimib otse teie brauseris — allalaadimisi, pistikprogramme ega kontosid pole vaja. Töötab Chrome'is, Firefoxis, Edge'is ja Safaris; enamik simulatsioone töötab ka mobiilseadmetes.

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Jah — kogu sisu on hariduslikuks kasutamiseks tasuta CC BY 4.0 litsentsi alusel. Lisage otselink mis tahes simulatsioonile või manustage see oma LMS-i iframe'i abil; API-võtit ei ole vaja.

Kas mudelid on teaduslikult täpsed?

Need kasutavad samu matemaatilisi valemeid nagu professionaalne tarkvara, mis on reaalajas numbriliselt integreeritud. Iga simulatsioon loetleb oma algoritmid ning paljud sisaldavad linki artiklile, mis selgitab matemaatikat.

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