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  2. Connection pool - Wikipedia

    en.wikipedia.org/wiki/Connection_pool

    This functionality applies to all Cosmos DB account types, including provisioned throughput and serverless models. The stateless, HTTP-based architecture of Cosmos DB facilitates scalable and concurrent operations without the limitations typically associated with traditional connection pooling mechanisms.

  3. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    The throughput provisioned on an Azure Cosmos container is exclusively reserved for that container. [12] The default maximum RUs that can be provisioned per database and per container are 1,000,000 RUs, but customers can get this limit increased by contacting customer support.

  4. Measuring network throughput - Wikipedia

    en.wikipedia.org/wiki/Measuring_network_throughput

    People are often concerned about measuring the maximum data throughput in bits per second of a communications link or network access. A typical method of performing a measurement is to transfer a 'large' file from one system to another system and measure the time required to complete the transfer or copy of the file.

  5. Free-space path loss - Wikipedia

    en.wikipedia.org/wiki/Free-space_path_loss

    Derivation of the dB version of the Path Loss Equation; Path loss Pages for free space and real world – includes free-space loss calculator; Hilt, A. “Throughput Estimation of K-zone Gbps Radio Links Operating in the E-band”, Journal of Microelectronics, Electronic Components and Materials, Vol.52, No.1, pp.29-39, 2022.

  6. PACELC theorem - Wikipedia

    en.wikipedia.org/wiki/PACELC_theorem

    The tradeoff between availability, consistency and latency, as described by the PACELC theorem. In database theory, the PACELC theorem is an extension to the CAP theorem.It states that in case of network partitioning (P) in a distributed computer system, one has to choose between availability (A) and consistency (C) (as per the CAP theorem), but else (E), even when the system is running ...

  7. Comparison of multi-model databases - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_multi-model...

    Database SQL Document Graph Object License Transactions ArangoDB: No: Yes: Yes: No: Business Source License 1.1: Full ACID, pessimistic locking, configurable durability

  8. Optimistic concurrency control - Wikipedia

    en.wikipedia.org/wiki/Optimistic_concurrency_control

    Optimistic concurrency control (OCC), also known as optimistic locking, is a non-locking concurrency control method applied to transactional systems such as relational database management systems and software transactional memory. OCC assumes that multiple transactions can frequently complete without interfering with each other.

  9. Simulation Optimization Library: Throughput Maximization

    en.wikipedia.org/wiki/Simulation_Optimization...

    There are 2 solutions to the discreteservice-rate moderate-sized problem, namely r = (6, 7, 7), b = (12, 8) and r = (7, 7, 6), b = (8, 12)with an expected throughput (defined as the limiting throughput over a long time horizon, as opposed to the approximation induced through the need for a warm-up period and ratio-estimate as described under ...