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In order to ensure high-speed processing, batch applications are often integrated with grid computing solutions to partition a batch job over a large number of processors, although there are significant programming challenges in doing so. High volume batch processing places particularly heavy demands on system and application architectures as well.
A job scheduler is a computer application for controlling unattended background program execution of jobs. [1] This is commonly called batch scheduling, as execution of non-interactive jobs is often called batch processing, though traditional job and batch are distinguished and contrasted; see that page for details.
Batch production is a method of manufacturing where the products are made as specified groups or amounts, within a time frame. A batch can go through a series of steps in a large manufacturing process to make the final desired product.
Spring Batch is an open source framework for batch processing. It is a lightweight, comprehensive solution designed to enable the development of robust batch applications, [1] which are often found in modern enterprise systems. Spring Batch builds upon the POJO-based development approach of the Spring Framework. [2]
In system software, a job queue (a.k.a. batch queue, input queue), is a data structure maintained by job scheduler software containing jobs to run. [1] Users submit their programs that they want executed, "jobs", to the queue for batch processing. The scheduler software maintains the queue as the pool of jobs available for it to run.
A job shop is a manufacturing system that handles custom/bespoke or semi-custom/bespoke manufacturing processes, such as small to medium-size customer orders or batch jobs. Such a process is called "job production." Job shops typically move on to different jobs (possibly with different customers) when each job is completed.
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