Enterprise Technology Glossary

6,173 results · page 195 of 309

• Package Integrity Verification

  Package integrity verification is the process of using cryptographic checks and policy controls to ensure software packages and artifacts remain unaltered and authentic from build to deployment, which supports software supply chain security, compliance, and controlled enterprise deployment practices.

• Package Manager

  Package manager is a system tool that manages installation, updating, and removal of software packages and their dependencies from defined repositories, enabling standardized provisioning, policy enforcement, and controlled software lifecycle management in enterprise operating systems and development environments.

• Package Signature Validation

  Package signature validation is a security control that uses cryptographic signatures to confirm the authenticity and integrity of software packages, enabling enterprises to enforce trust policies, reduce tampering risk, and support compliance across software supply chain and deployment workflows.

• Packaging Yield

  Packaging yield is a semiconductor manufacturing metric that expresses the percentage of packaged devices that pass final tests after assembly, directly affecting device cost, supply planning, and reliability assumptions for enterprise hardware platforms and semiconductor supply chain management.

• Packet

  Packet is a formatted unit of data with headers and payload that packet-switched networks create, forward, and process independently. It matters in enterprise environments because routing, security controls, traffic engineering, and performance monitoring all operate on packet structures and metadata.

• 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 Loss Analyzer

  Packet loss analyzer is a network monitoring capability that measures and characterizes packet loss across IP networks, helping enterprises maintain application performance, verify quality targets, support troubleshooting, and document network service levels in on-premises, cloud, and hybrid environments.

• 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.