Enterprise Technology Terminology

5,405 results · page 84 of 271

• Dynamic Network Slicing

  Dynamic network slicing is the automated creation and adjustment of multiple logical networks with defined performance and security characteristics on shared infrastructure, allowing enterprises and providers to align 5G and software-defined networks with distinct service, SLA, and isolation requirements.

• Dynamic Network Topology

  Dynamic network topology is a network architecture in which connections and routing relationships between nodes change over time based on mobility, link conditions, and control policies, which affects how enterprises design for reliability, performance, security, and automated operations.

• Dynamic Path Planning

  Dynamic path planning is a real-time computational method that updates collision-free routes for autonomous systems as environments, obstacles, or constraints change, supporting operational continuity, safety, and automation in enterprise settings such as logistics, manufacturing, transportation, and industrial robotics.

• Dynamic Policy Enforcement

  Dynamic policy enforcement is the runtime evaluation and application of access and security policies based on current context, enabling centrally defined, attribute-based decisions across identities, devices, applications, networks, and data resources in support of zero trust architectures, least privilege, and compliance requirements.

• Dynamic Power Capping

  Dynamic power capping is a hardware and firmware-based control mechanism that enforces configurable limits on server or processor power consumption, enabling enterprises to keep data center systems within electrical and thermal constraints while maintaining predictable, managed performance under power-constrained conditions.

• Dynamic Power Management

  Dynamic power management is a hardware and software control approach that adjusts the power use of processors, servers, and other components in real time, helping enterprises manage energy consumption, stay within power and thermal limits, and meet performance targets.

• Dynamic Precision Scaling

  Dynamic Precision Scaling is a runtime method for adjusting numerical precision in hardware or software to balance accuracy, performance, and resource usage in workloads such as machine learning, signal processing, and high-performance computing within enterprise and data center environments.

• Dynamic Public Transit Scheduler

  Dynamic public transit scheduler is a software system that uses real-time and historical operational data to create and update public transit timetables and vehicle assignments, supporting service reliability, resource utilization, and integration with broader intelligent transportation and mobility management architectures in enterprise transit environments.

• Dynamic Quantization

  Dynamic quantization is a post-training neural network compression technique that converts floating-point weights to lower-precision integers while computing activation scaling parameters at runtime, helping enterprises reduce model memory and CPU usage for inference without changing the original training process.

• Dynamic Remediation Workflow

  Dynamic remediation workflow is an automated, policy-driven process that adjusts remediation actions based on real-time security, compliance, or operational signals, enabling consistent, auditable response execution across enterprise environments while integrating with detection, orchestration, IT service management, and governance tooling.

• Dynamic Resource Allocation

  Dynamic resource allocation is the automated assignment and adjustment of compute, storage, network, or application resources in response to changing workloads and policies, enabling enterprises to align infrastructure consumption with demand, service-level objectives, and cost and capacity management requirements.

• Dynamic Resource Orchestrator

  Dynamic Resource Orchestrator is a control-plane software component that automatically allocates and adjusts compute, storage, and network resources in real time based on policies and workload demand, supporting utilization, service-level objectives, and governance in cloud, data center, and telecom environments.

• Dynamic Scheduler

  Dynamic Scheduler is a runtime scheduling component that allocates and reassigns tasks based on current workloads, resource conditions, and policies, which enterprises use in operating systems, clusters, and cloud platforms to manage utilization, service levels, and multi-tenant infrastructure governance.

• Dynamic Schema Evolution

  Dynamic schema evolution is the controlled modification of data schemas over time while maintaining compatibility with existing data, which matters in enterprise environments for preserving historical data usability, reducing disruptive migrations, and supporting changing analytics, regulatory, and application requirements across shared datasets.

• Dynamic Simulation Engine

  Dynamic simulation engine is a software component that runs time-based, stateful models of complex systems to evaluate behavior under different scenarios, supporting enterprise activities such as what-if analysis, digital twin workloads, operational planning, and risk or performance assessment.

• Dynamic Spectrum Sharing

  Dynamic spectrum sharing is a radio access network feature that lets mobile operators run LTE and 5G New Radio simultaneously in the same licensed band, affecting 5G coverage, capacity, and performance characteristics that enterprises receive from public and private mobile services.

• Dynamic Task Allocation

  Dynamic task allocation is a runtime method for assigning and reassigning tasks to available resources or agents based on current conditions, objectives, and constraints, which enterprises use to maintain service levels, utilization, and policy compliance across technical and operational systems.

• Dynamic Voltage and Frequency Scaling

  Dynamic Voltage and Frequency Scaling (DVFS) is a hardware power management technique that adjusts processor voltage and clock frequency to match workload demand, helping enterprises manage energy use, thermal limits, and performance trade-offs in servers and other computing infrastructure.

• Dynamic Workload Scheduling

  Dynamic workload scheduling is an automated, policy-based method of assigning and sequencing jobs that adjusts in real time to resource, dependency, and priority changes, enabling enterprises to maintain throughput, utilization, and service-level objectives across heterogeneous infrastructure.

• Earnings

  Earnings are a company’s profits after deducting expenses, taxes, and other costs from revenue, used in financial reporting and analysis to evaluate profitability, support capital allocation decisions, and meet regulatory and investor disclosure requirements in enterprise and capital markets contexts.