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Prometheus collects data in the form of time series. The time series are built through a pull model: the Prometheus server queries a list of data sources (sometimes called exporters) at a specific polling frequency. Each of the data sources serves the current values of the metrics for that data source at the endpoint queried by Prometheus.
Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of, or as actually being a "Data collection system" is very important. This categorization allows encyclopedic knowledge to be gathered and applied in the design and implementation of future systems.
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...
Stop-and-copy garbage collection in a Lisp architecture: [1] Memory is divided into working and free memory; new objects are allocated in the former. When it is full (depicted), garbage collection is performed: All data structures still in use are located by pointer tracing and copied into consecutive locations in free memory.
In many cases, the repositories of time-series data will utilize compression algorithms to manage the data efficiently. [ 3 ] [ 4 ] Although it is possible to store time-series data in many different database types, the design of these systems with time as a key index is distinctly different from relational databases which reduce discrete ...
Thomas Parke Hughes (September 13, 1923 [1] – February 3, 2014 [2]) was an American historian of technology.He was an emeritus professor of history at the University of Pennsylvania [3] and a visiting professor at MIT and Stanford.
In the field of information technology, agentless data collection involves collecting data from computers without installing any new agents on them. [1] References
The concept emerged from ubiquitous computing research at Xerox PARC and elsewhere in the early 1990s. [citation needed] The term 'context-aware' was first used by Schilit and Theimer in their 1994 paper Disseminating Active Map Information to Mobile Hosts where they describe a model of computing in which users interact with many different mobile and stationary computers and classify a context ...