Enterprise Technology Terminology: R

279 results · page 8 of 14

• Research and Development

  Research and development is a structured set of scientific and technical activities that organizations use to generate new knowledge, products, processes, or services, or to improve existing ones, through systematic investigation, experimentation, and documented projects within an enterprise context.

• Research Data Repository

  Research data repository is a managed digital system that stores, documents, and preserves research datasets with defined access, governance, and retention controls, enabling compliant sharing, discoverability, and reuse of research data across enterprise, institutional, and collaborative environments.

• Research Security Program

  Research security program is an institutional framework of policies, controls, and processes that protects research, data, and collaborations from theft, foreign interference, and misuse, while supporting compliance with security, export control, and funding-agency requirements in research-intensive enterprises and institutions.

• Reserved Instance

  Reserved instance is a cloud computing pricing construct in which an organization commits to use defined compute resources for a fixed term in exchange for discounted rates, supporting cost optimization and budget predictability for steady-state or long-lived workloads.

• Residual Network

  Residual Network is a deep neural network architecture that uses shortcut connections to learn residual functions, enabling training of very deep models. It matters in enterprise contexts because it underpins many production computer vision and AI workloads with reusable, scalable backbones.

• Residual Risk

  Residual risk is the level of risk that remains after an organization applies controls or other risk treatments. It matters in enterprise contexts because it guides decisions on risk acceptance, additional mitigation investment, governance reporting, and alignment with risk appetite and regulatory expectations.

• Resilience at Scale

  Resilience at scale is the capability of large, distributed digital systems to continue delivering defined service levels under failures, stress, and change. It matters because enterprises depend on consistent availability, reliability, and data integrity across complex, multi-region and multi-tenant environments.

• Resilience Engineering

  Resilience engineering is a discipline for designing and managing socio-technical systems so they maintain required operations under stress, adapt to disturbances, and recover from disruptions, which supports enterprise reliability, safety, cybersecurity, and continuity of critical digital and physical services.

• Resilience Index

  Resilience index is a quantitative metric that aggregates indicators of robustness, recoverability, and adaptability to show how well a system or organization can withstand and recover from disruptions. It matters because it supports enterprise risk decisions, continuity planning, and architecture governance.

• Resilience Testing

  Resilience testing evaluates how an enterprise system behaves and recovers when exposed to faults, resource limits, or infrastructure issues. It matters because it provides measurable assurance that critical applications can maintain required service levels and support business continuity under adverse conditions.

• Resiliency Tier

  Resiliency tier is a defined level of fault tolerance, data protection, and service continuity assigned to an application or data set, expressed through specific recovery objectives and used by enterprises to align architecture, investment, and continuity planning decisions.

• Resilient Computing Node

  Resilient computing node is a compute instance engineered to maintain controlled operation and recoverability under hardware faults, software failures, or cyber incidents. It matters in enterprise contexts because it underpins availability targets, continuity planning, and reliability engineering practices.

• Resilient Exascale System

  Resilient exascale system is a high-performance computing environment that delivers at least 10^18 operations per second while maintaining dependable operation under frequent hardware and software faults through integrated fault detection, containment, and recovery across hardware, system software, and applications.

• Resilient Infrastructure Planning

  Resilient infrastructure planning is the structured process of designing and operating infrastructure so it can withstand, adapt to, and recover from disruptions while maintaining defined service levels, supporting business continuity, regulatory compliance, and risk management in enterprise and critical systems contexts.

• Resilient Logistics Hub

  Resilient logistics hub is a supply chain node that combines physical infrastructure, transport links, and information systems to keep logistics operations functioning during disruptions, supporting continuity of supply, service-level performance, and risk management for enterprise and critical infrastructure networks.

• Resonator Coupling

  Resonator coupling is the controlled transfer of energy between resonant structures, such as optical, RF, or acoustic resonators, through near-field or waveguide interaction, which affects filter selectivity, spectral response, interference behavior, and integration density in communications, sensing, and compute hardware used in enterprises.

• Resource Allocation

  Resource allocation is the process of assigning compute, storage, network, financial, and human resources to workloads or projects based on explicit policies and constraints, enabling enterprises to align capacity, cost, and risk management with documented objectives and service obligations.

• Resource Allocation Framework

  Resource allocation framework is a structured set of principles, decision rules, and methods that organizations use to distribute limited financial, human, and technical resources across projects and operations, aligning allocation decisions with strategic objectives, risk constraints, and service-level or regulatory requirements.

• Resource Allocation Optimizer

  Resource allocation optimizer is a software system or algorithm that computes how to assign constrained resources to competing tasks or workloads under explicit objectives and constraints, supporting enterprise decisions on cost, performance, utilization, and compliance across IT, operations, and business planning contexts.

• Resource Allocation Policy

  Resource allocation policy is a documented rule set that governs how an enterprise distributes and prioritizes computing, network, storage, data, financial, or human resources across workloads and users, ensuring predictable service delivery, budget control, and alignment with governance and compliance requirements.