Enterprise Technology Glossary

6,173 results · page 234 of 309

• Resource Quota Management

  Resource quota management is the process of defining, enforcing, and monitoring limits on compute, storage, network, and related resources for users, applications, or tenants, helping enterprises maintain stability, control costs, and uphold governance policies in shared and multi-tenant environments.

• Resource Reservation Protocol-Traffic Engineering

  Resource Reservation Protocol-Traffic Engineering (RSVP-TE) is a control protocol that establishes explicitly routed, resource-reserved label-switched paths in MPLS and IP networks, enabling traffic engineering, predictable path selection, and policy-based capacity usage for carrier and large enterprise backbones.

• Resource Scheduler

  Resource scheduler is a software component that allocates and orders access to shared compute, storage, or network resources based on defined policies and workload demands, enabling multi-tenant infrastructure, capacity control, and service-level management in enterprise and cloud environments.

• Resource Sharing Framework

  Resource sharing framework is a formal set of models, policies, and mechanisms that governs how multiple parties access and coordinate shared computing, network, or data resources, enabling controlled multi-tenant usage with defined rules, service objectives, and governance in enterprise environments.

• Resource Tagging

  Resource tagging is the assignment of structured key–value metadata to infrastructure and application resources so enterprises can identify, organize, govern, and allocate costs for assets in a consistent way across cloud, data center, and hybrid environments.

• Resource Unit

  Resource unit is a standardized measure of computing, storage, or network capacity that organizations use to meter, control, and often bill for technology consumption, enabling consistent tracking, budgeting, and governance across shared infrastructure and cloud-based services.

• Resource Usage Attribution

  Resource usage attribution is the process of assigning measured consumption of compute, storage, network, and application resources to identifiable users, services, or business units so enterprises can align costs, accountability, and operational controls with actual infrastructure and platform usage.

• Resource Utilization Forecasting

  Resource utilization forecasting is the practice of predicting future levels of resource consumption, such as compute, storage, network, or workforce capacity, so enterprises can plan capacity, control costs, and maintain performance and reliability across technology and operational environments.

• Resource Utilization Graph

  Resource utilization graph is a directed graph model that represents processes, resources, and their allocation or request relationships to evaluate deadlocks, contention, and resource usage in operating systems and concurrent systems relevant to enterprise performance, reliability, and capacity planning.

• Resource Utilization Monitor

  Resource utilization monitor is a capability that measures and reports how computing resources such as CPU, memory, storage, and network bandwidth are consumed over time, enabling enterprises to manage performance, capacity, and cost across infrastructure and cloud environments.

• Resource Utilization Profiler

  Resource utilization profiler is a software tool that measures and analyzes how workloads consume CPU, memory, storage, and network resources over time, enabling enterprises to monitor performance, plan capacity, control infrastructure costs, and support observability across on-premises, virtualized, and cloud environments.

• Responsible AI

  Responsible AI is a governance and engineering approach that embeds legal compliance, risk controls, transparency, fairness assessment, and accountability into AI systems and processes so enterprises can manage AI-related risk, assurance, and oversight across the model and data lifecycle.

• Responsible AI Framework

  Responsible AI Framework is a formal governance structure that defines principles, policies, processes, and controls for building and operating artificial intelligence systems in a safe, lawful, transparent, and accountable way in order to manage risk and support regulatory compliance.

• Responsible AI Monitoring System

  Responsible AI Monitoring System is an enterprise framework of tools, processes, and controls that continuously observe and document AI models in production to verify compliance with ethical, regulatory, and risk policies, supporting governance, auditability, and controlled use of AI across the organization.

• Responsible AI Office

  Responsible AI Office is an internal governance function that defines and enforces principles, policies, and controls for how an enterprise designs, builds, and operates AI systems so that they remain compliant, well-documented, and aligned with organizational risk, legal, and oversight requirements.

• Responsible AI Officer

  Responsible AI Officer is an executive or senior governance role that coordinates responsible artificial intelligence policies, risk management, and compliance, ensuring AI systems follow defined standards for oversight, documentation, and control across an organization’s technical, legal, and operational environments.

• Responsible AI Policy

  Responsible AI Policy is an internal governance document that defines how an enterprise designs, deploys, and monitors AI systems under specified legal, risk, and technical constraints, providing a structured basis for compliance, accountability, and consistent AI practices across the organization.

• Responsible Supply Chain Policy

  Responsible supply chain policy is a formal enterprise framework that defines environmental, social, human rights, and governance requirements for suppliers and third parties, enabling organizations to manage compliance, risk, and due diligence across procurement, sourcing, and supply chain operations.

• Responsible Technology Council

  Responsible Technology Council is a cross-functional governance body inside an organization that sets and oversees policies for how technology is designed, deployed, and managed so that it complies with legal, ethical, security, and risk-management requirements in enterprise environments.

• RESTful API

  RESTful API is a web-based interface that applies Representational State Transfer constraints over HTTP to expose resources in a stateless, cacheable, client-server manner, which enterprises use to standardize application integration, service reuse, and controlled data access across systems and partners.