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Software Performance Management
In IT operations context, 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 ... [...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 growing, ... [...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, which ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Gartner
Gartner, Inc is a technological research and consulting firm based in Stamford, Connecticut that conducts research on technology and shares this research both through private consulting as well as executive programs and conferences. Its clients include large corporations, government agencies, technology companies, and investment firms. In 2018, the company reported that its client base consisted of over 12,000 organizations in over 100 countries. As of 2022, Gartner has over 15,000 employees located in over 100 offices worldwide. It is a member of the S&P 500. History Gideon Gartner founded Gartner, Inc in 1979. Originally private, the company launched publicly as Gartner Group in 1986 before Saatchi & Saatchi acquired it in 1988. In 1990, Gartner Group was acquired by some of its executives, including Gartner himself, with funding from Bain Capital and Dun & Bradstreet. The company went public again in 1993. In 2000, the name was simplified from ''Gartner Group'' to Gartn ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Systems Management
Systems management refers to enterprise-wide 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. Centralized management has a time and effort trade-off that is related to the size of the company, the expertise of the 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 able to save time and money, by having IT staff ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Pattern Recognition
Pattern recognition is the automated recognition of patterns and regularities in data. It 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. These activities can be viewed as two facets of the same field of application, and they have undergone substantial development over the past few decades. 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 stronger connection to business use. Pattern recognition focuses more on the s ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Neural Network
A neural network is a network or circuit of biological neurons, or, in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus, a neural network is either a biological neural network, made up of biological neurons, or an artificial neural network, used for solving artificial intelligence (AI) problems. The connections of the biological neuron are modeled in artificial neural networks as weights between nodes. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections. All inputs are modified by a weight and summed. This activity is referred to as a linear combination. Finally, an activation function controls the amplitude of the output. For example, an acceptable range of output is usually between 0 and 1, or it could be −1 and 1. These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset. Self-learning resulting from e ... [...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, 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 destination device. A netw ... 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 (resolved) against what happens. For example, a company might estimate their revenue in the next year, then compare it against the actual results. Prediction is a similar but more general term. Forecasting might refer to specific formal statistical methods employing time series, cross-sectional or longitudinal data, or alternatively to less formal judgmental methods or the process of prediction and resolution itself. 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 and prediction; it is generally considered a good practice to indicate the degree of uncertainty ... [...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 ''forecasting' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Statistics
Statistics (from German language, German: ''wikt:Statistik#German, Statistik'', "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.Dodge, Y. (2006) ''The Oxford Dictionary of Statistical Terms'', Oxford University Press. When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey sample (statistics), samples. Representative sampling as ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Applied Mathematics
Applied mathematics is the application of mathematical methods by different fields such as physics, engineering, medicine, biology, finance, business, computer science, and industry. Thus, applied mathematics is a combination of mathematical science and specialized knowledge. The term "applied mathematics" also describes the 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 applied analysis, most notably differential equations; approximation theory (broadly construed, to include representations, asymptotic methods, variational ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
User (computing)
A user is a person who utilizes a computer or network service. A user often has a user account and is identified to the system by a username (or user name). Other terms for username include login name, screenname (or screen name), account name, nickname (or nick) and handle, which is derived from the identical citizens band radio term. 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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
