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Distributed computing denotes architectures where computational tasks are spread across multiple networked nodes. It covers consistency, fault tolerance, coordination mechanisms, and communication protocols. The goal is scalable, resilient, and efficient processing of distributed applications. Typical domains include distributed databases, microservices, edg…
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It splits computation across networked machines that cooperate on a result.
It grew from the need to pool compute, storage, and availability across machines rather than relying on one host.
Partition work, send pieces to nodes, collect results, and handle late or missing responses as part of the algorithm.
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It suits large data and compute-heavy workloads. Network failure, coordination, and debugging add complexity.
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