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Dynamic frequency scaling (also known as CPU throttling) is a power management technique in computer architecture whereby the frequency of a microprocessor can be automatically adjusted "on the fly" depending on the actual needs, to conserve power and reduce the amount of heat generated by the chip.
If the throttling valve or device is located at the entry into a pressure vessel so that the flash evaporation occurs within the vessel, then the vessel is often referred to as a flash drum. [1] [2] If the saturated liquid is a single-component liquid (for example, propane or liquid ammonia), a part
The difference is that bandwidth throttling regulates a bandwidth intensive device (such as a server) by limiting how much data that device can receive from each node / client or can output or can send for each response. Bandwidth capping on the other hand limits the total transfer capacity, upstream or downstream, of data over a medium.
In thermodynamics, the Joule–Thomson effect (also known as the Joule–Kelvin effect or Kelvin–Joule effect) describes the temperature change of a real gas or liquid (as differentiated from an ideal gas) when it is expanding; typically caused by the pressure loss from flow through a valve or porous plug while keeping it insulated so that no heat is exchanged with the environment.
CPU throttling, computer hardware speed control, also known as dynamic frequency scaling; Bandwidth throttling, used to control the bandwidth that a network application can use; Throttling process (computing), software speed control
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The investigation concluded in November 2020 with Apple and the states agreeing for Apple to pay a US$113 million fine related to throttling performance on the devices, and for Apple to issue documents to be transparent about how it throttles performance.
When a protocol server or a network device notice that the configured request limit is reached, then it will offload new requests and not respond to them. Sometimes they may be added to a queue to be processed once the input rate reaches an acceptable level, but at peak times the request rate can even exceed the capacities of such queues and ...