Enterprise Technology Glossary

6,173 results · page 173 of 309

• Multi-Access Edge Fabric

  Multi-Access Edge Fabric is an architecture that links multiple access networks and distributed edge resources into a single, programmable fabric, enabling coordinated policy, performance and security control for workloads and services deployed close to users and connected devices in enterprise environments.

• Multi-Access Gateway

  Multi-access gateway is a network element that aggregates and terminates traffic from multiple access technologies, such as fixed, mobile, and Wi-Fi, into a common core, enabling unified policy, security, and connectivity management in carrier and large enterprise environments.

• Multi-Agent Collaboration Framework

  Multi-agent collaboration framework is a structured environment of software components, protocols, and rules that coordinates multiple autonomous agents to work together on tasks, enabling organized interaction, governance, and reuse of agent-based capabilities in enterprise architectures and complex distributed systems.

• Multi-Agent Control Plane

  Multi-agent control plane is the architectural layer that manages and governs how multiple autonomous agents coordinate, communicate, and operate under shared policies in an enterprise or distributed system, enabling centralized oversight of agent behavior, reliability, and compliance.

• Multi-Agent Coordination

  Multi-agent coordination is the collection of mechanisms and algorithms that enable multiple autonomous agents to align decisions, share information, and allocate tasks toward defined objectives, which matters in enterprises that operate distributed AI, automation, and cyber-physical systems.

• Multi-Agent Orchestrator

  Multi-agent orchestrator is a control component that coordinates, schedules, and governs collaboration among multiple autonomous agents in enterprise environments, enabling policy-compliant, observable, and reusable multi-agent workflows across applications, data platforms, and backend systems.

• Multi-Agent Reinforcement Learning

  Multi-agent reinforcement learning is a branch of reinforcement learning in which multiple agents learn policies through interaction with a shared environment and each other, enabling coordinated or competitive decision-making for enterprise applications such as network control, robotics, traffic systems, and resource allocation.

• Multi-Agent Simulation

  Multi-agent simulation is a computer-based modeling approach in which autonomous agents interact within an environment to produce system-level outcomes. It matters in enterprise contexts because it supports analysis, scenario testing, and risk assessment in complex socio-technical, economic, and cyber-physical systems.

• Multi-Agent Simulation Environment

  Multi-agent simulation environment is a software framework for modeling and running interactions among multiple autonomous agents in a virtual environment, used by enterprises to analyze distributed behavior, test strategies, and evaluate complex system scenarios before real-world deployment.

• Multi-Agent Simulation Network

  Multi-Agent Simulation Network is a computational modeling approach that represents systems as interacting autonomous agents connected by defined network structures, used by enterprises to analyze distributed behavior, test policies, and evaluate performance, risk, and resilience under controlled, repeatable scenarios.

• Multiagent systems

  Multiagent systems are distributed assemblies of autonomous, interacting agents that make local decisions and coordinate in a shared environment. They matter in enterprise contexts because they support decentralized control, complex process management, and agent-based modeling across logistics, infrastructure, financial, and cyber-physical systems.

• Multi-agent Systems

  Multi-agent systems are distributed collections of autonomous software or robotic agents that interact in a shared environment to make decisions and coordinate actions. The concept matters in enterprise contexts for managing complex, decentralized decision-making and coordination across heterogeneous systems.

• Multi-AP Coordination

  Multi-AP coordination is a wireless LAN capability in which multiple access points share control information and coordinate transmissions to manage interference, increase spectral efficiency, and stabilize client performance, which supports denser Wi-Fi deployments and more predictable behavior for enterprise applications.

• Multi-Band Operation

  Multi-band operation is the capability of a wireless system or device to use two or more distinct frequency bands under coordinated control, allowing enterprises to align coverage, capacity, and service separation with spectrum availability and diverse application and device requirements.

• Multicast Routing

  Multicast routing is a network-layer technique that forwards IP traffic from one or more sources to multiple receivers that join a multicast group, helping enterprises deliver shared data streams to many endpoints while reducing duplicate flows and conserving bandwidth.

• Multi-Chip Module

  Multi-chip module is a packaging approach that combines multiple integrated circuit dies or chips into one component on a shared substrate or interposer. It matters in enterprise hardware because it affects system performance, power, form factor, and lifecycle planning.

• Multicloud

  Multicloud is the use of cloud services from two or more providers under a coordinated operating model for applications, data, and infrastructure. It matters because it affects enterprise architecture, governance, risk management, cost control, and operational complexity across cloud environments.

• Multi-Cloud Architecture

  Multi-cloud architecture is a cloud computing design in which enterprises use two or more cloud providers under one governance model, allowing them to distribute workloads and data while coordinating security, compliance, and operational management across heterogeneous cloud environments.

• multicloud automation

  Multicloud automation is the programmatic orchestration and policy-based management of workloads and services across multiple cloud providers, enabling enterprises to apply consistent governance, deployment, and operations at scale in environments that span public and private clouds.

• Multi-Cloud Connectivity Broker

  Multi-cloud connectivity broker is a centralized network control and abstraction layer that manages and secures connections between multiple public clouds, private clouds, and on-premises environments, enabling unified policy enforcement, governance, and operational control over distributed enterprise workloads.