CAP Theorem — A distributed-systems result stating that during a network partition a system cannot simultaneously guarantee both linearizable consistency and availability.
CAP concerns behavior during network partitions; it does not state that a distributed system must permanently choose only two of consistency, availability, and partition tolerance.
Publications whose title or summary directly references this concept.
A systems-engineering treatment of sustainable ASR capacity through RTF, segmentation, VAD, queueing, backpressure, CPU/GPU sharing and tail latency.
Why Java virtual-thread concurrency and concurrent JDBC capacity are different quantities, with HikariCP, backpressure, and queueing latency as the operational boundary.
The geometry of signal, noise, and distinguishable regions in Shannon channel capacity provides a useful way to reason about capacity and robustness in embedding and latent spaces.
A comprehensive engineering note on latency, throughput, JVM behavior, JPA/Hibernate, JDBC, HikariCP, SQL, indexing, caching, Kafka, PostgreSQL, load testing, and capacity planning for high-performance Java data systems.
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