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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. [13]

  3. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    Cosmos DB automatically decides how many partitions to spread data across depending on the size and throughput needs. When partitions are added or removed, the operation is performed without any downtime so data remains available while it is re-balanced across the new or remaining partitions.

  4. Network performance - Wikipedia

    en.wikipedia.org/wiki/Network_performance

    Throughput is controlled by available bandwidth, as well as the available signal-to-noise ratio and hardware limitations. Throughput for the purpose of this article will be understood to be measured from the arrival of the first bit of data at the receiver, to decouple the concept of throughput from the concept of latency.

  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. Quality of service - Wikipedia

    en.wikipedia.org/wiki/Quality_of_service

    The amount of over-provisioning in interior links required to replace QoS depends on the number of users and their traffic demands. This limits usability of over-provisioning. Newer more bandwidth intensive applications and the addition of more users results in the loss of over-provisioned networks.

  7. 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 ...

  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. Azure Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Explorer

    Azure Data Explorer is a fully-managed [1] big data analytics cloud platform [2] [3] and data-exploration service, [4] developed by Microsoft, [5] [6] that ingests structured, semi-structured (like JSON) and unstructured data (like free-text).