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Software Performance Management
In IT operations, software performance management is the subset of tools and processes in IT Operations which deals with the collection, monitoring, and analysis of performance metrics. These metrics can indicate to IT staff whether a system component is up and running (available), or that the component is behaving in an abnormal way that would impact its ability to function correctly—much like how a doctor may measure pulse, respiration, and temperature to measure how the human body is "operating". This type of monitoring originated with computer network components, but has now expanded into monitoring other components such as servers and storage devices, as well as groups of components organized to deliver specific services and Business Service Management). Types and categories Types and categories of IT performance management include: * Network performance management: a set of functions that evaluate and report the effectiveness of the network or network element, and the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
IT Operations
Data center management is the collection of tasks performed by those responsible for managing ongoing operation of a data center. This includes ''Business service management'' and planning for the future. Historically, "data center management" was seen as something performed by employees, with the help of tools collectively called data center-infrastructure management (DCIM) tools. Both for in-house operation and outsourcing, service-level agreements must be managed to ensure data-availability. Competition Data center management is a growing major topic for a growing list of large companies who both compete and cooperate, including: Dell, Google, HP, IBM, Intel and Yahoo. Hardware/software vendors who are willing to live with coopetition are working on projects such as "The Distributed Management Task Force" (DMTF) with a goal of learning to "more effectively manage mixed Linux, Windows and cloud environments." With the ''DMTF'' a decade old, the list of companies is growi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Application Performance Management
In the fields of information technology and systems management, application performance management (APM) is the monitoring and management of the performance and availability of software applications. APM strives to detect and diagnose complex application performance problems to maintain an expected level of service. APM is "the translation of IT metrics into business meaning ( .e.value)." Measuring application performance Two sets of performance metrics are closely monitored. The first set of performance metrics defines the performance experienced by end-users of the application. One example of performance is average response times under peak load. The components of the set include load and response times: :* The load is the volume of transactions processed by the application, e.g., transactions per second, requests per second, pages per second. Without being loaded by computer-based demands (e.g. searches, calculations, transmissions), most applications are fast enough, whic ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Gartner
Gartner, Inc. is an American research and advisory firm focusing on business and technology topics. Gartner provides its products and services through research reports, conferences, and consulting. Its clients include large corporations, government agencies, technology companies, and investment firms. Operations Gartner is a research and advisory firm with three business segments: research, conferences, and consulting. As of December 2024, Gartner has over 21,000 employees globally and operates in 90 countries and territories. It is headquartered in Stamford, Connecticut. Gene A. Hall is the chief executive officer. Gartner is a publicly traded company listed on the S&P 500. History 1980s Gideon Gartner and David Stein founded Gartner, Inc. in 1979 to provide IT industry research and analysis to businesses buying and selling computer hardware. Gideon Gartner had previously worked at IBM, and his new firm specialized in information about IBM and its products. Gartner's ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Systems Management
Systems management is enterprise-wide System administration, administration of distributed systems including (and commonly in practice) computer systems. Systems management is strongly influenced by network management initiatives in telecommunications. The application performance management (APM) technologies are now a subset of Systems management. Maximum productivity can be achieved more efficiently through event correlation, system automation and predictive analysis which is now all part of APM. Discussion Centralized management has a time and effort trade-off that is related to the size of the company, the expertise of the Information technology, IT staff, and the amount of technology being used: * For a small business startup with ten computers, automated centralized processes may take more time to learn how to use and implement than just doing the management work manually on each computer. * A very large business with thousands of similar employee computers may clearly be ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Pattern Recognition
Pattern recognition is the task of assigning a class to an observation based on patterns extracted from data. While similar, pattern recognition (PR) is not to be confused with pattern machines (PM) which may possess PR capabilities but their primary function is to distinguish and create emergent patterns. PR has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the use of machine learning, due to the increased availability of big data and a new abundance of processing power. Pattern recognition systems are commonly trained from labeled "training" data. When no labeled data are available, other algorithms can be used to discover previously unknown patterns. KDD and data mining have a larger focus on unsupervised methods and str ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Neural Network
A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or signal pathways. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural networks. *In neuroscience, a '' biological neural network'' is a physical structure found in brains and complex nervous systems – a population of nerve cells connected by synapses. *In machine learning, an '' artificial neural network'' is a mathematical model used to approximate nonlinear functions. Artificial neural networks are used to solve artificial intelligence problems. In biology In the context of biology, a neural network is a population of biological neurons chemically connected to each other by synapses. A given neuron can be connected to hundreds of thousands of synapses. Each neuron sends and receives electrochemical signals called action potentials to its conne ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Baselining
Baselining is a method for analyzing computer network performance. The method is marked by comparing current performance to a "baseline" derived from past performance. If the performance of a network switch A network switch (also called switching hub, bridging hub, Ethernet switch, and, by the IEEE, MAC bridge) is networking hardware that connects devices on a computer network by using packet switching to receive and forward data to the destinat ... or other network components is measured over a period of time, that performance figure can be used as a comparative baseline for configuration changes. Uses Baselining is useful for many performance management tasks, including: * Monitoring daily network performance * Measuring trends in network performance * Assessing whether network performance is meeting requirements laid out in a service agreement References Network management {{Compu-network-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Forecasting
Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might Estimation, estimate their revenue in the next year, then compare it against the actual results creating a variance actual analysis. Prediction is a similar but more general term. Forecasting might refer to specific formal statistical methods employing time series, cross-sectional data, cross-sectional or longitudinal study, longitudinal data, or alternatively to less formal judgmental methods or the process of prediction and assessment of its accuracy. Usage can vary between areas of application: for example, in hydrology the terms "forecast" and "forecasting" are sometimes reserved for estimates of values at certain specific future times, while the term "prediction" is used for more general estimates, such as the number of times floods will occur over a long period. Risk and uncertainty are central to forecasting an ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Time Series
In mathematics, a time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average. A time series is very frequently plotted via a run chart (which is a temporal line chart). Time series are used in statistics, signal processing, pattern recognition, econometrics, mathematical finance, weather forecasting, earthquake prediction, electroencephalography, control engineering, astronomy, communications engineering, and largely in any domain of applied science and engineering which involves temporal measurements. Time series ''analysis'' comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series ''f ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Statistics
Statistics (from German language, German: ', "description of a State (polity), state, a country") is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied. Populations can be diverse groups of people or objects such as "all people living in a country" or "every atom composing a crystal". Statistics deals with every aspect of data, including the planning of data collection in terms of the design of statistical survey, surveys and experimental design, experiments. When census data (comprising every member of the target population) cannot be collected, statisticians collect data by developing specific experiment designs and survey sample (statistics), samples. Representative sampling assures that inferences and conclusions can reasonably extend from the sample ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Applied Mathematics
Applied mathematics is the application of mathematics, mathematical methods by different fields such as physics, engineering, medicine, biology, finance, business, computer science, and Industrial sector, industry. Thus, applied mathematics is a combination of mathematical science and specialized knowledge. The term "applied mathematics" also describes the profession, professional specialty in which mathematicians work on practical problems by formulating and studying mathematical models. In the past, practical applications have motivated the development of mathematical theories, which then became the subject of study in pure mathematics where abstract concepts are studied for their own sake. The activity of applied mathematics is thus intimately connected with research in pure mathematics. History Historically, applied mathematics consisted principally of Mathematical analysis, applied analysis, most notably differential equations; approximation theory (broadly construed, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
User (computing)
A user is a person who uses a computer or network service. A user often has a user account and is identified to the system by a username (or user name). Some software products provide services to other systems and have no direct end users. End user End users are the ultimate human users (also referred to as operators) of a software product. The end user stands in contrast to users who support or maintain the product such as sysops, database administrators and computer technicians. The term is used to abstract and distinguish those who only use the software from the developers of the system, who enhance the software for end users. In user-centered design, it also distinguishes the software operator from the client who pays for its development and other stakeholders who may not directly use the software, but help establish its requirements. This abstraction is primarily useful in designing the user interface, and refers to a relevant subset of characteristics t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
