OpenNMS is an open-source network management platform designed to monitor and manage large-scale networks. It provides a range of features that enable organizations to maintain the health and performance of their IT infrastructure. Key functionalities of OpenNMS include: 1. **Network Monitoring**: OpenNMS can automatically discover network devices and services, continuously monitor their status, and provide real-time alerts for any issues.

TCP pacing is a congestion control mechanism used in TCP (Transmission Control Protocol) to improve the efficiency of network traffic transmission and reduce network congestion. The primary goal of TCP pacing is to prevent bursts of packets from overwhelming network links and causing packet loss, which can lead to retransmissions and reduced throughput. ### How TCP Pacing Works: 1. **Transmission Control**: Instead of sending packets back-to-back in large bursts, TCP pacing spreads the transmission of packets over time.

Traffic shaping, also known as packet shaping, is a network management technique that involves controlling the flow of data packets in a network to optimize or guarantee performance, improve latency, and manage bandwidth. The primary goals of traffic shaping are to ensure a smooth transmission of network data, maintain service quality for different types of traffic, and prevent network congestion. Here are some key aspects of traffic shaping: 1. **Bandwidth Management**: Traffic shaping allows network administrators to allocate bandwidth more effectively.

Wireless Intelligent Stream Handling (WISH) is a technology or approach used in wireless communication networks to optimize and manage the flow of data streams, particularly in scenarios where multiple types of multimedia content and data are transmitted over wireless channels.

Assortative mixing is a concept in network theory and social dynamics that describes the tendency of individuals within a network to associate with similar individuals. This can refer to a variety of characteristics, such as socioeconomic status, age, education, or values. There are two main types of assortative mixing: 1. **Assortative Mixing by Similarity**: In this type, individuals tend to connect with others who have similar traits or characteristics.

Degree-preserving randomization is a technique used primarily in the field of network analysis, particularly in the context of social networks and graph theory. The main goal of degree-preserving randomization is to shuffle the connections (edges) between nodes (vertices) in a network while maintaining the original degree distribution of the nodes. In more detail: 1. **Degree of a Node**: The degree of a node in a graph is the number of edges connected to it.

Fractal dimension is a concept that extends the idea of dimension beyond the traditional integer dimensions (like 1D, 2D, 3D) to describe complex, self-similar structures that may not fit neatly into these categories. In the context of networks, the fractal dimension is used to quantify the complexity of the network's structure and how it scales as the size of the network increases.

In network science, a "hub" refers to a node (or vertex) within a network that has a significantly higher degree of connectivity compared to other nodes. In simpler terms, a hub is a node that is connected to a large number of other nodes, making it a central point of interaction within the network. Hubs play a crucial role in various types of networks, including social networks, transportation networks, and biological networks.

Low-degree saturation is a term often used in the context of polynomial interpolation, computational algebra, and related fields that deal with functions or structures defined over finite fields or rings. It generally refers to properties of polynomials that involve the number of variables and the degree of polynomials. In general, saturation in mathematical contexts involves the idea of filling up or reaching a maximum capacity.

In labor economics, "networks" refer to the social connections and relationships among individuals that can influence various aspects of labor market outcomes, including job search, hiring processes, and career advancement. These networks can take many forms, including personal connections, professional associations, family ties, or community groups, and they play a significant role in how information about job opportunities is disseminated and how individuals access those opportunities.

An ecological network is a conceptual and analytical framework that represents the complex interactions and relationships among various components of an ecosystem, including organisms, populations, and their environment. These networks can illustrate how different species interact with one another—such as through predation, competition, symbiosis, and mutualism—as well as how they interact with their physical environment, including abiotic factors like climate, soil, and water.

GEOSCOPE Observatory is a global network of seismological observatories designed to monitor and study seismic activity and tectonic movements around the world. It was established to provide data for a better understanding of earthquakes, volcanism, and other geological processes. GEOSCOPE contributes to both scientific research and public safety by offering real-time data and analysis related to seismic events.

Gas networks simulation is a modeling and analysis process used to understand and predict the behavior of gas distribution or transmission networks. These simulations are important for various applications, including design, operation, optimization, and management of gas systems.

Heterarchy is a concept that refers to a system of organization in which elements are unranked or where they can be ranked in multiple ways, as opposed to a hierarchy, which is a system with a clear, ordered structure where elements are arranged according to levels of authority or importance. In a heterarchical system, the relationships between components can be more fluid and dynamic, allowing for different forms of organization depending on context.

In philosophy, a "holon" is a term that describes something that is both a whole and a part of a larger whole. The concept was popularized by Arthur Koestler in his 1967 book "The Ghost in the Machine". Koestler used the term to illustrate how entities or systems can be analyzed and understood as self-contained wholes, while simultaneously being components of larger systems.

"Homoarchy" is not a widely recognized term in common discourse or established academic literature as of my last update in October 2023. However, the word seems to be a combination of "homo," derived from the Greek word meaning "same" or "equal," and "archy," which comes from the Greek "archē," meaning "rule" or "governance.

CaBIG, which stands for the Cancer Biomedical Informatics Grid, is an initiative developed by the National Cancer Institute (NCI) in the United States. Launched in the early 2000s, the goal of CaBIG is to enhance cancer research by facilitating collaboration and data sharing among researchers, institutions, and healthcare organizations.

A "dry lab" generally refers to a type of laboratory or research environment that focuses on computational and theoretical work rather than hands-on experimental work with physical materials. In a dry lab, researchers typically engage in activities such as: 1. **Computer Simulations**: Running simulations to model physical, chemical, biological, or engineering processes. 2. **Data Analysis**: Analyzing existing data sets, such as genomic data in bioinformatics or simulation results in physics.

Biorepositories, also known as biobanks, are facilities or collections that store biological samples, such as human tissue, blood, DNA, and other bodily fluids, as well as associated data. These samples are collected and stored for future research purposes, particularly in the fields of medicine, genetics, and biotechnology. Key aspects of biorepositories include: 1. **Sample Collection and Storage**: Biorepositories collect samples from donors, which may include healthy individuals or patients with specific conditions.

Algae DNA barcoding is a molecular technology used to identify and classify algal species based on short, standardized sequences of genetic material, typically from specific regions of their DNA.