Enterprise Technology Terminology

5,405 results · page 173 of 271

• Packet Core

  Packet core is the collection of mobile network functions that provide IP connectivity, session control, mobility management, and policy enforcement for user traffic in 3G, 4G LTE, and 5G networks, relevant to operators and enterprises deploying public or private cellular infrastructure.

• Packet Filtering

  Packet filtering is a network security control that examines packet headers against rule sets to allow or block traffic, used in enterprises to enforce access control, reduce exposed network paths, and support regulatory and security policy requirements.

• Packet Inspection

  Packet inspection is the examination of network packet headers and sometimes payloads to classify traffic, enforce security and compliance policies, detect threats, and support monitoring, giving enterprises detailed visibility into how applications and data traverse their networks.

• Packet-Switched Network

  Packet-switched network refers to a communications network that sends data in discrete packets over shared links, enabling concurrent services such as data, voice, and video across enterprise LANs, WANs, and data centers while supporting routing, traffic management, and security controls.

• Packet Telemetry

  Packet telemetry is the practice of collecting and exporting detailed information about individual network packets to external systems for monitoring, troubleshooting, and security analysis, enabling enterprises to observe real traffic behavior for performance, reliability, and policy verification across complex networks.

• Pandemic Response Plan

  Pandemic response plan is an organization’s documented framework for preparing for and managing widespread infectious disease outbreaks that disrupt staff, facilities, and suppliers, enabling continuity of critical operations while aligning with business continuity, crisis management, and regulatory and occupational health requirements.

• Parallel Compute Kernel

  Parallel compute kernel is a self-contained function that executes concurrently across many processing elements, usually on GPUs or accelerators, to handle data-parallel work units in high-performance, AI, analytics, and scientific applications within enterprise and cloud environments.

• Parallel File System

  Parallel file system is a shared-storage file system that distributes data and I/O across multiple servers to serve many concurrent clients. It matters in enterprise and research settings that run high-performance computing, analytics, or AI workloads requiring high-throughput, parallel data access.

• Parallel I/O

  Parallel I/O is a data input/output approach that executes read and write operations concurrently across multiple storage devices or channels, enabling enterprise systems to support large-scale, data-intensive workloads and better utilize parallel compute and storage infrastructure.

• Parallel I/O Optimization

  Parallel I/O optimization is the practice of improving throughput, latency, and scalability of concurrent input/output operations across multiple storage devices or nodes in parallel computing environments, enabling more efficient use of compute, storage, and network resources for data-intensive enterprise workloads.

• Parallel Job Execution

  Parallel job execution is the concurrent running of multiple jobs or tasks across shared compute resources in order to shorten processing windows and increase throughput in enterprise workloads such as batch processing, analytics, simulations, and large-scale data engineering.

• Parallel Optics

  Parallel optics is a fiber-optic transmission approach that uses multiple optical channels in parallel, typically over multi-fiber ribbon cables, to deliver high aggregate bandwidth over short distances in data centers and high-performance computing environments for switch, server, and storage interconnects.

• Parallel Processing

  Parallel processing is a computation method in which multiple processors or cores execute tasks concurrently on shared or distributed data, enabling enterprises to complete compute-intensive workloads within practical time frames and align performance with analytics, modeling, and service-level requirements.

• Parallel Programming Model

  Parallel programming model defines how a program expresses concurrent execution, communication, and synchronization across multiple processing elements. It matters in enterprise environments because it affects scalability, performance portability, development effort, and operational behavior for high-performance, data-intensive, and compute-intensive workloads.

• Parallel Tasks

  Parallel tasks are independent units of work executed concurrently across multiple compute resources in a parallel or distributed system, enabling enterprises to meet performance and throughput requirements for compute-intensive workloads while aligning capacity, scheduling, and reliability with architectural and operational constraints.

• Parallel UPS Configuration

  Parallel UPS configuration is an arrangement where multiple uninterruptible power supply units operate in parallel on a common bus to support the same load, enabling higher total capacity and redundancy for enterprise power continuity and data center reliability objectives.

• Parameter Server

  Parameter server is a distributed system component that manages storage and updates of machine learning model parameters across multiple worker nodes, enabling large-scale training workloads in enterprise environments where models and datasets exceed the capacity of a single machine.

• Parameter Shift Rule

  Parameter-shift rule is a quantum gradient estimation method that computes exact derivatives of expectation values for many parameterized quantum gates using shifted circuit evaluations, enabling gradient-based optimization of variational quantum algorithms within hybrid quantum-classical enterprise architectures and workflows.

• Parameter Sweep Experiment

  Parameter sweep experiment is a computational study pattern in which a model or system runs repeatedly over a structured range of parameter values to characterize behavior, support sensitivity analysis, and provide reproducible evidence for engineering, risk, and model-validation decisions in enterprises.

• Parametric Amplifier

  Parametric amplifier is an electronic or optical amplifier that uses a time-varying parameter, driven by a pump signal, to provide low-noise gain at microwave, radio frequency, or optical wavelengths, which supports sensitive communications, sensing, and quantum measurement applications in enterprise systems.