Search Results for "memory pool" - Page 2

Oracle Database Monitor based on APEX 4.1. Database Monitor Functions: - Instance - SGA - PGA - DB Parameter - Buffer Pool Keep Candidates - Version and Patches Realtime Monitor - Locks - DDL Locks - DML Locks - Library Cache Lock - Waiting Library Cache Pin - Session Browser - SQL Statements - Temp Usage - Bind Variables - SQL Statistics - Segment Statistics - Index Segment Statistics - Session Long Operations - PGA Memory Usage Objects - Tablespaces - Segments - Objects - Indexes - Extents - Total Table Space - Waste Space APEX - Activity - Report for Apex Mail Log - Report for Apex Mail Queue Jobs - Scheduler Jobs - Scheduler Job Log - Scheduler Job Run Details

An cross platform lightweight http server. using memory cache and thread pool. Another implementation of high performance HTTP server.

small C++ Library providing some classes to extend STL: singletons, cross-platform threads & synchronization, thread pool, memory pool, custom allocators, small unicode support, logging & diagnostic, and so on.

This is a header-only memory pool library for C++

The project will develop an in – memory object cache utilizing the LRU (least-recently-used) algorithm. The cache will store the objects that are most accessed within a fixed size memory pool. Thus system is keep statistics and calculates tradeoffs.

Sidebrain is a programmer's memory aid, looking after a stack of tasks and subtasks, and a queue or pool of tasks that are not on the stack. It also keeps a collection of notes that you have made, associated with the tasks.

Apache web server relies on memory pools to easily manage memory allocation. This project provides some templates that will help you to take advantage of apache pool in your C++ modules.

The purpose of the Managed Memory Framework for C++ is to offer an abstraction layer over the basic memory management available in the C++ library by providing a set of smart pointers and various memory allocation schemes (heap, pool, static...).

...The RELICS platform is the keystone software application that connects and harmonizes all operations of the intelligence process using both human intelligence and biologically inspired learning algorithms to perform intelligence tasks. RELICS users are connected on a peer-to-peer network forming a community intended to meet the high demands of processing, memory, scalability and fault tolerance. All RELICS users must also be providers who contribute to the community resource pool. This may include memory, processing, bandwidth or human resources. The RELICS concept is unprecedented as it is the first system of its kind, and stands in a class alone. It is not finished concept, but a vision that will be shaped by future participants.