"Elephant flow" is a concept that typically pertains to data networking and refers to large data flows that consume significant bandwidth, often contrasting with "mouse flows," which are smaller, more routine data transmissions. In computer networking, flows can be characterized by the amount of data being transmitted and the duration of the transmission. Elephant flows can be associated with tasks like data backups, large file transfers, or streaming video, while mouse flows might consist of smaller data packets related to web browsing or quick transactions.
The Erlang is a unit of measurement used in telecommunications to quantify the traffic load on a telecommunications system. It is named after the Danish mathematician and engineer Agner Krarup Erlang, who made significant contributions to the field of queueing theory and traffic engineering. One Erlang represents the continuous use of one voice path or channel.
The term "errored second" typically refers to a time period or interval in which an error occurs or a measurement fails. This can be used in various contexts such as: 1. **Computing and Data Processing**: In systems that process data in real-time, an "errored second" may be recorded when a fault or error happens in the system's operation, such as a failure to process data correctly or an unexpected behavior in software or hardware.
Flow control is a fundamental concept in data communication and networking that manages the rate of data transmission between two devices or endpoints. Its primary purpose is to ensure that a sender does not overwhelm a receiver with too much data too quickly, which can lead to performance degradation or data loss. ### Key Concepts of Flow Control: 1. **Buffering**: Data is often transmitted in packets, and the receiving device may have a limited buffer (or memory) to store incoming packets.
"Climate as complex networks" refers to the application of complex network theory to understand and analyze the interactions and relationships within climate systems. In this context, the climate system is viewed as a network of various components—such as the atmosphere, oceans, land surfaces, and biosphere—that interact with one another in complex ways.
The core-periphery structure is a concept used in various fields, including economics, sociology, and geography, to describe a spatial or relational distribution of resources, power, and development. It typically refers to a situation where a central core region or entity possesses a disproportionate amount of wealth, resources, or influence, while surrounding peripheral areas are less developed or lack similar resources.
The rich-club coefficient is a measure used in network science to analyze the organization and connectivity patterns within a network, especially in relation to the nodes with high degrees (i.e., nodes that have a large number of connections). The concept is based on the observation that nodes with many connections (often referred to as "rich" nodes) tend to be more interconnected than would be expected in a random network.
Iproute2 is a collection of utilities for controlling network traffic in Linux operating systems. It provides a modern alternative to older networking tools such as `ifconfig` and `route`. The name "Iproute2" reflects its focus on IP layer routing and traffic management. Key features of Iproute2 include: 1. **Advanced Routing and Traffic Control**: It includes tools for managing routing tables and overall network traffic handling, allowing for more complex configurations and policies.
A Layered Queueing Network (LQN) is a modeling framework used in performance evaluation and analysis of complex systems, especially those involving computer networks, telecommunications, and service systems. It is particularly useful for analyzing systems where tasks can be processed in various layers (or stages) with different types of servers or services within each layer.
Low-latency queuing refers to a system or method of managing data packets in a way that minimizes the time taken for them to travel from a source to a destination. This concept is particularly relevant in networking, telecommunications, and real-time applications, where timely data delivery is crucial. ### Key Principles of Low-Latency Queuing: 1. **Queue Management**: In traditional queuing systems, packets can wait for unpredictable amounts of time due to various factors like congestion or processing delays.
"Mod QoS" typically refers to "Modified Quality of Service" or "Modular Quality of Service," depending on the context in which it's used. Quality of Service (QoS) itself is a network feature that prioritizes certain types of traffic to ensure optimal performance, particularly in environments where bandwidth is limited or where specific applications require guaranteed delivery times, such as voice over IP (VoIP), video streaming, and online gaming.
Mouseflow is a web analytics tool that helps website owners and marketers understand user behavior on their sites. It primarily provides insights through session replay, heatmaps, funnels, and form analytics. Here are the main features of Mouseflow: 1. **Session Replay**: This feature allows you to watch recordings of individual user sessions on your website. It shows how users interact with your site, including their mouse movements, clicks, and scrolls.
NetPIPE (Network Protocol Independent Performance Evaluator) is a benchmarking tool designed to assess the performance of network protocols and the communication capabilities of different systems over a network. It measures parameters such as bandwidth, latency, and message throughput by sending data packets between nodes. NetPIPE provides a framework for testing various network configurations, allowing users to evaluate how different protocols and setups perform under different conditions. It is particularly useful in high-performance computing environments, where efficient data transfer is critical.
Service assurance refers to the practices and strategies employed by organizations to ensure that their services meet defined quality standards and performance expectations. It encompasses a range of processes that enable organizations to monitor, manage, and enhance the performance, availability, and reliability of services, particularly in the context of IT service management and telecommunications. Key components of service assurance include: 1. **Monitoring and Analytics**: Continuous monitoring of service performance metrics (e.g.
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.
Peak Information Rate (PIR) refers to the maximum rate at which data can be transmitted over a network or communication channel. It is generally defined in bits per second (bps) and represents the highest data transfer rate achievable under optimal conditions. In the context of networking and telecommunications, PIR is often used to describe the capabilities of various technologies, including broadband services, where it indicates the maximum speed available to users.
Performance tuning refers to the systematic process of enhancing the performance of a system, application, or database to ensure it operates at optimal efficiency. This can involve various techniques and practices aimed at improving speed, responsiveness, resource utilization, and overall user experience. Performance tuning can apply to various domains, including: 1. **Software Applications**: Optimizing code, algorithms, and application architecture to reduce execution time and improve responsiveness.
A proxy server is an intermediary server that acts as a gateway between a client (such as a computer or a device) and another server (often a web server). When a client requests a resource, such as a web page, the request is first sent to the proxy server. The proxy then forwards the request to the intended server, retrieves the response, and sends it back to the client.
Queueing theory is a mathematical study of waiting lines, or queues. It involves the analysis of various factors that affect the efficiency and behavior of systems where entities (such as customers, data packets, or jobs) must wait in line for service or processing. The primary goal of queueing theory is to understand and optimize the performance of these systems by analyzing characteristics such as: 1. **Arrival process**: This refers to how entities arrive at the queue.

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact