Edge Computing Terms Glossary: Edge Computing Terms in 2024
5
5G
5G is the fifth generation of cellular network technology, offering faster speeds, lower latency, and greater capacity for wireless communications.
A
Artificial Intelligence (Ai)
Artificial Intelligence refers to the simulation of human intelligence in machines, enabling them to perform tasks that would typically require human intelligence.
Augmented Reality (Ar)
Augmented Reality is an interactive experience that combines real-world elements with computer-generated sensory information, enhancing the perception of reality.
Autonomous Edge
An Autonomous Edge refers to an edge computing environment or devices capable of making intelligent decisions, adapting to changing conditions, and autonomously performing tasks without relying on constant human intervention or cloud connectivity.
B
Bandwidth
Bandwidth refers to the maximum amount of data that can be transmitted over a network connection in a given amount of time, typically measured in bits or bytes per second.
Big Data
Big Data refers to extremely large and complex data sets that cannot be easily managed, processed, or analyzed using traditional data processing techniques.
Blockchain
Blockchain is a decentralized, distributed ledger technology used to record transactions across multiple computers, providing transparency, security, and immutability.
C
Cloud Computing
Cloud Computing is a model for delivering on-demand computing resources over the internet, including storage, processing power, and software applications.
Cloud Orchestration
Cloud Orchestration is the automation and coordination of various cloud resources and services to ensure efficient deployment, management, and scalability of applications.
Cloud Service Provider
A Cloud Service Provider is a company that offers various cloud-based services, including infrastructure, platforms, and software, to individuals or organizations.
Containerization
Containerization is an OS-level virtualization method that allows applications and their dependencies to be packaged and run consistently across different computing environments.
Cybersecurity
Cybersecurity is the practice of protecting digital systems, networks, and data from unauthorized access, use, disclosure, disruption, or destruction.
D
Data Analytics
Data Analytics is the process of examining raw data to discover patterns, draw conclusions, and make data-driven decisions.
Data Center
A Data Center is a physical facility that houses computing resources, including servers, storage devices, networking equipment, and associated components.
Data Compression
Data Compression is the process of reducing the size of data to save storage space, minimize bandwidth usage, and increase transmission speed.
Data Fusion
Data Fusion is the process of combining data from multiple sources and integrating it into a single, coherent dataset to extract meaningful insights.
Data Governance
Data Governance is the framework and processes for managing data assets, including data quality, security, privacy, and compliance with regulations and policies.
Data Localization
Data Localization refers to the practice of storing and processing data within a specific geographic location, typically for compliance with data protection and privacy laws. Edge Computing can enable data localization by processing data locally.
Data Offloading
Data Offloading is the practice of transferring data from a local device or edge node to a remote location, typically to reduce local storage and processing requirements. Edge Computing can facilitate data offloading by processing data locally and transferring only necessary information.
Data Privacy
Data Privacy refers to the protection of individual's personal information, ensuring that it is collected, stored, and used in a manner that respects their privacy rights.
Data Stream Processing
Data Stream Processing is the real-time processing of data streams, enabling the continuous analysis and extraction of insights from high-velocity data.
Deep Learning
Deep Learning is a subfield of ML that uses artificial neural networks with multiple layers to model and analyze complex patterns in data.
Device Management
Device Management involves the monitoring, configuration, and control of devices, ensuring they are operating correctly, securely, and providing efficient data transfer.
Digital Edge
Digital Edge refers to the boundary between the physical and digital worlds, where physical objects, devices, and sensors connect and interact with digital systems.
Digital Infrastructure
Digital Infrastructure refers to the underlying foundation of technology, networks, and communication systems that support and enable digital services and operations.
Digital Transformation
Digital Transformation is the integration of digital technologies into all areas of a business, fundamentally changing how it operates and delivers value to customers.
Digital Twin
A Digital Twin is a virtual replica of a physical entity, process, or system that can be used for monitoring, simulating, and optimizing its real-world counterpart.
Distributed Computing
Distributed Computing is a model in which computing tasks are divided and performed by multiple computers connected via a network.
Distributed Ledger
A Distributed Ledger is a digital record or database that is spread across multiple sites, countries, or institutions, providing transparency, immutability, and decentralization.
E
Edge Adaptable Applications
Edge Adaptable Applications are applications that can dynamically adjust their behavior and resources based on the current edge computing environment and conditions. They can optimize performance, energy consumption, and resource utilization.
Edge Adaptive Security
Edge Adaptive Security is a security approach that dynamically adapts to changing edge computing environments, threats, and device characteristics. It employs AI, ML, and anomaly detection techniques to detect and respond to security threats.
Edge Ai Chip
An Edge AI Chip, also known as an AI Processor or Neural Processing Unit (NPU), is a specialized hardware component designed to accelerate AI and ML workloads at the edge. It performs computations efficiently and optimally to reduce latency and power consumption.
Edge Analytics
Edge Analytics involves analyzing data at the edge of the network, close to where the data is generated, to derive insights in real-time without relying on cloud-based processing.
Edge Augmented Reality (Ar)
Edge Augmented Reality (AR) is the overlaying of digital information or virtual objects onto the real-world environment at the edge of the network. It enables real-time and interactive AR experiences on edge devices.
Edge Blockchain
Edge Blockchain is a distributed ledger technology that enables decentralized and secure data storage, verification, and transaction processing at the edge of the network. It can be used for enhancing trust, integrity, and privacy in edge applications.
Edge Cognitive Computing
Edge Cognitive Computing combines cognitive computing techniques, such as natural language processing and pattern recognition, with edge computing. It enables intelligent processing and decision-making at the edge.
Edge Compliance
Edge Compliance refers to adhering to relevant regulations, standards, and best practices in the deployment and operation of an edge computing infrastructure. It ensures data privacy, security, and legal compliance.
Edge Computing
Edge Computing is a distributed computing paradigm that brings compute resources closer to the data source or user to enhance real-time processing and lower latency.
Edge Data Center
Edge Data Center is a facility that brings compute, storage, and networking resources closer to the edge to provide low-latency processing and local data storage.
Edge Data Privacy
Edge Data Privacy refers to protecting the confidentiality, integrity, and accessibility of data at the edge of the network. It involves implementing privacy-enhancing technologies, encryption, and access control mechanisms.
Edge Data Science
Edge Data Science refers to the application of data science techniques, such as data analysis, modeling, and prediction, at the edge of the network. It enables real-time insights and decision-making without requiring data to be sent to the cloud.
Edge Database
An Edge Database is a database system designed to run on edge devices, enabling local storage, processing, and analysis of data without a permanent connection to a central server.
Edge Devices
Edge devices are devices located at the network edge that collect, process, and transmit data to and from the cloud or other devices.
Edge Disaster Recovery
Edge Disaster Recovery refers to the strategies and processes implemented to ensure business continuity and data recovery in the event of a disaster or failure at the edge. It involves backup, replication, and failover mechanisms.
Edge Distributed Ledger
An Edge Distributed Ledger is a decentralized and distributed system for recording and synchronizing data across multiple edge devices or nodes. It enables distributed consensus, tamper-proof records, and secure transaction processing at the edge.
Edge Energy
Edge Energy employs edge computing, IoT, and data analytics to optimize energy generation, distribution, and consumption. It enables real-time monitoring, predictive maintenance, and energy efficiency in smart grids and renewable energy systems.
Edge Fault Tolerance
Edge Fault Tolerance is the ability of an edge computing system to withstand and recover from faults, errors, or failures in the hardware, software, or network components. It ensures uninterrupted operation and data availability.
Edge Function-As-A-Service (Faas)
Edge Function-as-a-Service (FaaS) is a serverless computing model for deploying and running individual functions or code snippets at the edge of the network. It allows for event-driven, scalable, and cost-efficient edge computing.
Edge Gateway
An Edge Gateway is a device or software component that acts as a bridge between edge devices and a central network or cloud, enabling data transfer and communication.
Edge Healthcare
Edge Healthcare leverages edge computing, IoT devices, and data analytics to enable real-time monitoring, remote patient care, and personalized healthcare services. It improves the delivery, efficiency, and quality of healthcare at the edge.
Edge Infrastructure-As-A-Service (Iaas)
Edge Infrastructure-as-a-Service (IaaS) is a service model that provides virtualized computing, storage, and networking resources at the edge of the network. It allows for rapid deployment and scaling of edge infrastructure.
Edge Intelligence
Edge Intelligence refers to the capability of edge devices to perform intelligent data processing and analytics locally, without relying on cloud-based services.
Edge Intelligence Software
Edge Intelligence Software refers to software applications and platforms specifically designed to enable intelligent edge computing. It includes tools, frameworks, and libraries that facilitate the development, deployment, and management of edge applications.
Edge Knowledge Graphs
Edge Knowledge Graphs represent structured and interconnected knowledge and information at the edge of the network. They enable intelligent inference, reasoning, and decision-making in edge applications.
Edge Machine-To-Machine (M2M) Communication
Edge Machine-to-Machine (M2M) Communication refers to direct communication between edge devices or node-to-node communication within an edge computing infrastructure. It enables decentralized and efficient data exchange and collaboration.
Edge Manufacturing
Edge Manufacturing utilizes edge computing, IoT devices, and data analytics to optimize manufacturing processes, improve efficiency, and enable predictive maintenance. It enables real-time monitoring, automation, and optimization in production environments.
Edge Monitoring
Edge Monitoring is the process of continuously monitoring and collecting data about the performance, health, and status of edge devices and resources. It enables proactive maintenance, troubleshooting, and optimization of edge infrastructure.
Edge Natural Language Processing (Nlp)
Edge Natural Language Processing (NLP) refers to the ability to process, understand, and generate natural language text or speech at the edge of the network. It enables voice assistants, chatbots, and real-time language analysis.
Edge Natural User Interfaces (Nui)
Edge Natural User Interfaces (NUI) enable users to interact with edge devices and applications using natural and intuitive methods, such as voice commands, gestures, or eye movements. They enhance user experience and accessibility at the edge.
Edge Networking
Edge Networking refers to the networking infrastructure, protocols, and technologies used to establish and manage communication between edge devices, gateways, and the central network or cloud.
Edge Orchestration
Edge Orchestration refers to the coordination and management of multiple edge devices and resources to ensure efficient and optimized operation of edge computing infrastructure.
Edge Platform-As-A-Service (Paas)
Edge Platform-as-a-Service (PaaS) is a service model that provides a platform for developing, deploying, and managing edge applications and services. It abstracts the underlying infrastructure and offers tools and frameworks for edge development.
Edge Precision Agriculture
Edge Precision Agriculture leverages edge devices, sensors, and data analytics to optimize farming practices, crop yield, and resource utilization. It enables real-time monitoring, automation, and decision-making in agricultural processes.
Edge Predictive Maintenance
Edge Predictive Maintenance uses data analytics and ML algorithms at the edge to predict and prevent equipment failures or malfunctions. It enables proactive maintenance, reduces downtime, and extends asset lifespan.
Edge Quantum Computing
Edge Quantum Computing involves deploying and utilizing quantum computing resources at the edge of the network. It leverages the unique capabilities of quantum computing, such as qubits and quantum algorithms, for edge-specific applications.
Edge Regulatory Compliance
Edge Regulatory Compliance refers to adhering to industry-specific regulations and compliance requirements in the deployment and operation of an edge computing infrastructure. It ensures the legal and ethical use of data at the edge.
Edge Resource Management
Edge Resource Management refers to the dynamic allocation and utilization of computing resources, such as processing power, storage, and bandwidth, in an edge computing environment. It ensures optimal resource allocation and performance.
Edge Retail
Edge Retail employs edge computing, IoT devices, and data analytics to optimize retail operations, customer experiences, and supply chain management. It enables real-time inventory management, personalized marketing, and efficient customer service.
Edge Robotics
Edge Robotics refers to the deployment of robotic systems and applications at the edge of the network, enabling autonomous navigation, real-time decision-making, and collaborative robotics.
Edge Robustness
Edge Robustness refers to the resilience and ability of an edge computing system to handle and recover from failures, disruptions, or adverse conditions, ensuring continuous operation and availability.
Edge Scalability
Edge Scalability refers to the ability of an edge computing infrastructure to efficiently handle an increasing number of edge devices, users, and workloads while maintaining performance and reliability.
Edge Security
Edge Security encompasses a set of measures and technologies designed to protect edge devices, networks, and data from unauthorized access, attacks, and breaches.
Edge Smart Cities
Edge Smart Cities utilize edge computing, IoT, and data analytics to improve the efficiency, sustainability, and livability of urban areas. They enable intelligent monitoring, management, and services in various domains, such as transportation, energy, and public safety.
Edge Software-Defined Networking (Sdn)
Edge Software-Defined Networking (SDN) is an approach that applies the principles of SDN to edge networks. It allows for centralized network management, programmability, and dynamic resource allocation in edge computing environments.
Edge Streaming Analytics
Edge Streaming Analytics is the real-time analysis of data streams generated at the edge of the network. It involves processing and extracting meaningful insights from continuous data streams in real time.
Edge Supply Chain Management
Edge Supply Chain Management involves using edge computing, IoT devices, and data analytics to optimize and streamline supply chain operations. It enables real-time inventory management, demand forecasting, and logistics optimization.
Edge Synchronization
Edge Synchronization refers to the process of ensuring consistent and up-to-date data across edge devices and the central data center or cloud. It involves data replication, conflict resolution, and synchronization mechanisms.
Edge Video Analytics
Edge Video Analytics is the process of analyzing and extracting insights from video data in real time at the edge of the network. It enables applications such as surveillance, object detection, facial recognition, and intelligent video processing.
Edge Virtual Private Network (Vpn)
Edge Virtual Private Network (VPN) is a secure network connection established over a public network infrastructure, allowing edge devices to securely connect with the central network or cloud.
Edge Virtual Reality (Vr)
Edge Virtual Reality (VR) is the creation of a simulated or virtual environment at the edge of the network. It provides immersive and interactive VR experiences on edge devices, reducing latency and enhancing user engagement.
Edge Virtualization
Edge Virtualization is the process of creating virtual instances of computing resources, such as servers, storage, and networking, at the network edge. It allows for flexible and scalable allocation of resources across multiple edge devices.
Edge Workload
An Edge Workload refers to a task, application, or workload that is executed at the edge of the network, closer to the data source. Edge workloads can include data processing, analytics, inference, and local decision-making.
Edge-As-A-Platform (Eaap)
Edge-as-a-Platform (EaaP) is a platform-based approach to edge computing that provides a set of standardized tools, services, and APIs for developing, deploying, and managing edge applications.
Edge-As-A-Service (Eaas)
Edge-as-a-Service is a model for delivering edge computing resources and services on demand, similar to the concept of cloud computing.
Edge-Based Machine Learning Inference
Edge-Based Machine Learning Inference refers to performing ML model inference, prediction, or classification tasks at the edge of the network. It reduces latency, conserves bandwidth, and enhances data privacy by keeping ML computations local.
Edge-Native Application
An Edge-native Application is an application designed and optimized to run on edge computing resources, taking full advantage of the proximity to the data source and the capabilities of edge devices.
Edge-To-Cloud Continuum
Edge-to-Cloud Continuum refers to a spectrum of computing resources, ranging from edge devices to cloud infrastructure, that work together to process and analyze data.
Edge-To-Edge Communication
Edge-to-Edge Communication refers to the direct communication between edge devices or nodes within an edge computing infrastructure. It enables data sharing, coordination, and collaborative processing between neighboring edge resources.
Edge-To-Edge Computing
Edge-to-Edge Computing involves processing and analyzing data at multiple edge locations in a distributed manner, enabling faster response times and reduced reliance on centralized cloud infrastructure.
Edge-To-Edge Security
Edge-to-Edge Security refers to the mechanisms and protocols used to ensure secure communication and data exchange between edge devices, nodes, or systems within an edge computing infrastructure.
Endpoint
An Endpoint refers to a device or software application that serves as a termination point in a network or communication channel, where data is sent or received.
F
Failover
Failover is the process of switching from a failed or offline system or component to a backup or redundant system to ensure continued availability and reliability of services.
Fog Computing
Fog Computing extends cloud computing capabilities to the edge of the network, enabling efficient data processing and storage closer to the data source.
H
High Availability
High Availability refers to a system or service that is continuously operational and accessible, with minimal downtime and the ability to recover quickly from failures.
I
Internet Of Things (Iot)
Internet of Things is a network of physical objects embedded with sensors, software, and connectivity to enable the exchange of data.
L
Latency
Latency refers to the time delay between the input and output of a system, often measured as the time it takes for a packet of data to travel from one point to another.
Load Balancing
Load Balancing is the process of distributing network traffic or computing workload across multiple servers or devices to optimize resource utilization, maximize performance, and minimize response time.
Local Area Network (Lan)
A Local Area Network is a network that connects computers and devices within a limited geographical area, such as a home, office, or building.
Low Power Wide Area (Lpwa)
Low Power Wide Area is a wireless communications network technology designed for low-bandwidth, long-range applications with low power consumption.
M
Machine Learning (Ml)
Machine Learning is a subset of AI that focuses on getting machines to learn from data and automatically improve their performance without being explicitly programmed.
Mesh Networking
Mesh Networking is a network topology in which each device in the network can communicate directly with every other device, enabling self-healing and better coverage.
Metadata
Metadata is data that provides information about other data, such as the structure, format, content, location, and other attributes of the underlying data.
Microcontrollers
Microcontrollers are small, self-contained computer systems on a single integrated circuit, designed to control specific functions in devices.
Microservices
Microservices is an architectural style that structures an application as a collection of small, loosely coupled services that can be developed, deployed, and scaled independently.
Mobile Edge Computing (Mec)
Mobile Edge Computing (MEC) is a network architecture that brings computing, storage, and network resources closer to mobile network users or devices. It aims to reduce latency, improve performance, and enable new edge-based services.
O
Over-The-Air (Ota)
Over-the-Air refers to the wireless transmission of data, software, or updates to devices or systems, without the need for physical connection or manual intervention.
P
Predictive Analytics
Predictive Analytics is the use of historical data and statistical techniques to predict future outcomes or behaviors, enabling proactive decision-making.
R
Real-Time Analytics
Real-time Analytics is the process of analyzing and deriving insights from data in real time or near-real time. Edge Computing enables real-time analytics by processing data closer to the source, reducing latency.
Real-Time Processing
Real-time processing refers to the instantaneous or near-instantaneous analysis and response to data as it is generated.
Remote Monitoring
Remote Monitoring is the process of monitoring and collecting data from a system or device located at a distance, typically through the use of sensors and communication technologies.
S
Sensor Networks
Sensor Networks consist of interconnected sensors that collect and transmit data about physical or environmental conditions, enabling monitoring and control of various systems.
Serverless Computing
Serverless Computing is a model for running applications without managing underlying server infrastructure, allowing developers to focus on writing code.
Service Level Agreement (Sla)
A Service Level Agreement is a contract between a service provider and a client that defines the agreed-upon level of service, performance, and availability.
Stream Processing
Stream Processing is a computing paradigm that involves processing and analyzing data streams in real-time as they are received, enabling immediate insights and actions.
T
Time Series Analysis
Time Series Analysis is a statistical technique that involves analyzing and modeling data collected at regular intervals over time to identify patterns, trends, and anomalies.
V
Virtual Reality (Vr)
Virtual Reality is a simulated experience that can be similar to or completely different from the real world, typically experienced through a head-mounted display.
Virtualization
Virtualization is the process of creating a virtual version of something, such as a server, storage device, network, or operating system, using software.
W
Wide Area Network (Wan)
A Wide Area Network is a network that spans a large geographical area, connecting computers and devices across multiple locations, using various communication technologies.
Z
Zero Trust
Zero Trust is an approach to cybersecurity that assumes no trust in any user or device, requiring identity verification, strict access controls, and continuous authorization monitoring.