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Without connection pooling mechanisms (e.g., HikariCP, pgbouncer), idle or excessive connections can strain database resources. Virtual Machine-Based Environments: AWS EC2 instances scale connection demand with the number of instances. Manual or automated tuning of connection pool parameters is essential to prevent exceeding database limits.
Pooling is the grouping together of assets, and related strategies for minimizing risk. For example: Asset-backed securities (ABS) is a security whose income payments are backed by a specified pool of underlying assets. Mortgage-backed securities (MBS) is a type of asset-backed security whereas the underlying assets are mortgages.
A pool of database connections can be created and then shared among the applications that need to access the database. The connection object obtained from the connection pool is often a wrapper around the actual database connection. The wrapper understands its relationship with the pool, and hides the details of the pool from the application.
Reliable Server Pooling (RSerPool) is a computer protocol framework for management of and access to multiple, coordinated (pooled) servers.RSerPool is an IETF standard, which has been developed by the IETF RSerPool Working Group [1] and documented in RFC 5351, RFC 5352, RFC 5353, RFC 5354, RFC 5355 and RFC 5356.
In computer science, a pool is a collection of resources that are kept in memory, ready to use, rather than the memory acquired on use or the memory released afterwards. In this context, resources can refer to system resources such as file handles , which are external to a process, or internal resources such as objects .
However, the default connection timeout of Apache httpd 1.3 and 2.0 is as little as 15 seconds [6] [7] and just 5 seconds for Apache httpd 2.2 and above. [ 8 ] [ 9 ] The advantage of a short timeout is the ability to deliver multiple components of a web page quickly while not consuming resources to run multiple server processes or threads for ...
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Risk pooling is an important concept in supply chain management. [2] Risk pooling suggests that demand variability is reduced if one aggregates demand across locations because as demand is aggregated across different locations, it becomes more likely that high demand from one customer will be offset by low demand from another.