Editing Pooling (resource management) (section)

==Computing==
[[Pool (computer science)|Pooling]] IT (equipment and staff) resources involves [[virtualization]] of typical IT stacks server, storage and [[Computer network|networking]] (but also on the level of datacenter power and cooling). Users benefit from lower individual investments since resources are shared. Although shared infrastructures have huge benefits potential issues on the environment have impact on the complete environment. A thorough analysis of the infrastructure is recommended to identify potential [[single point of failure]] (SPOF). One may opt for 'private' instances ([[private cloud]]s) for specific needs or for specific reasons. On the level of resource pooling, bigger suppliers tend to have the benefit of being able to provide shared support environments with round the clock service. Do you prefer access to a service desk round the clock with potential less expertise or do you want to rely on a single support engineer (who is 'on duty' during off peak hours)"

*[[Memory pool]]ing is the use of a pool for memory management that allows dynamic memory allocation by preallocating a number of memory blocks with the same size called the memory pool, and is an alternative to dynamic memory allocation by techniques such as malloc and C++'s operator new which can suffer from fragmentation because of variable block sizes.
*[[Thread pool pattern|Thread pooling]] is a software design pattern for achieving concurrency of execution in a computer program by maintaining a pool of multiple threads waiting for tasks to be allocated for concurrent execution by a supervising program, and increases performance and avoids latency due to frequent creation and destruction of threads for short-lived tasks
*[[Object pool]]ing is a software design pattern that keeps a pool of initialized objects ready that are ready to be used, rather than allocating and destroying them on demand. 
*[[Connection pool]]ing in computer science is a caching technique used to enhance the performance of executing commands on a database.

The resource management concepts of pooling can easily be abstracted and [[Virtualization|virtualized]].