When a newly evicted item needs to be placed back into larger memory, it should be stored in a designated area that accommodates items based on their access patterns or priority. This can involve using a cache or buffer that optimizes for quick access, or placing it in a less frequently accessed section of memory if it's deemed less critical. Proper management techniques, such as using a Least Recently Used (LRU) algorithm, can help determine the best location for efficient retrieval. Ultimately, the decision should consider the overall memory architecture and usage patterns.
Demand Paging
memory book
People would like to show their newly bought gadget or item and make viewers jealous and buy similar item.
6GB memory will hold more things than a 4GB item
line-item veto
The most common item is a computer.
A memory with a 16 bit address bus can address 216 or 65536 distinct items. If each item is 32 bits in size, then the item is 4 bytes. The size of this memory is then 262144 bytes. (256Kb)
Cisco router memory has over 120 gigabytes. That is a lot of memory for a router. This item can be found on either eBay or Amazon for a very cheap price.
Put the first item in the data set into an empty memory location called, say, 'biggest'. Now compare the second and subsequent items in the data set with 'biggest'. If the item is larger than 'biggest' then put the value of the item in 'biggest', otherwise do nothing. By the time you have finished looking through the data set you will find that 'biggest' contains the greatest value in the data set.
Fetching
chronological base of classification of computer
When the government prevents either a news item or scenes from a movie from being shared with the larger public this is referred to as censorship