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Geographic redundancy corrects the vulnerabilities of redundant devices deployed by geographically separating backup devices. Geographic redundancy reduces the likelihood of events such as power outages, floods, HVAC failures, lightning strikes, tornadoes, building fires, wildfires, and mass shootings disabling most of the system if not the entirety of it.
In both lossy and lossless compression, information redundancy is reduced, using methods such as coding, quantization, DCT and linear prediction to reduce the amount of information used to represent the uncompressed data. Lossy audio compression algorithms provide higher compression and are used in numerous audio applications including Vorbis ...
A less severe form of involuntary termination is often referred to as a layoff (also redundancy or being made redundant in British English). A layoff is usually not strictly related to personal performance but instead due to economic cycles or the company's need to restructure itself, the firm itself going out of business, or a change in the function of the employer (for example, a certain ...
The redundancy compensation payment for employees depends on the length of time an employee has worked for an employer which excludes unpaid leave. If an employer can't afford the redundancy payment they are supposed to give their employee, once making them redundant, or they find their employee another job that is suitable for the employee.
While different in nature, data redundancy also occurs in database systems that have values repeated unnecessarily in one or more records or fields, ...
Database normalization is the process of structuring a relational database accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity. It was first proposed by British computer scientist Edgar F. Codd as part of his relational model.
Redundancy of compressed data refers to the difference between the expected compressed data length of messages () (or expected data rate () /) and the entropy (or entropy rate ). (Here we assume the data is ergodic and stationary , e.g., a memoryless source.)
The idea of incorporating redundancy in order to improve the reliability of a system was pioneered by John von Neumann in the 1950s. [24] Two kinds of redundancy are possible: [25] space redundancy and time redundancy. Space redundancy provides additional components, functions, or data items that are unnecessary for fault-free operation.