Peter Späth · Apress eBooks · 2023
If you need to perform regularly and automatically repeating tasks without user interaction, but based on data that's fed into a database or file by an external process, that's called batch processing. For example, consider software that collects employee work hours or aggregates attendance system data each day at midnight and updates employee records in a human resources database. While the first program consists of a user interface in the form of a web application or attendance detection based on cards, badges, or something similar, the aggregation software is a typical candidate for batch processing.
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Supercritical fluid science and technology · 2021
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Encyclopedia of Software Engineering · 2002
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Diwekar, Urmila · CERN Document Server (European Organization for Nuclear Research) · 2014
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SpringerReference · 2011
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Jodi Gray, Chris Nyberg · 2002
Today, online transaction processing (OLTP) applications can downsize from mainframes to microprocessors. Commodity database systems, operating systems, and hardware came of age in 1993/spl minus/they surpassed the online transaction processing performance of proprietary solutions. There are lingering doubts about downsizing batch transaction processing applications. The doubts center on the ability of microprocessor hardware to handle the high I/O bandwidth required by batch processing, and on doubts that microprocessor systems offer the software services and utilities key to batch processing applications. This paper reviews the impressive progress of made by commodity software and hardware in processing OLTP workloads. The discussion is quantitative because the Transaction Processing Performance Council defined a set of benchmarks that characterize OLTP and that quantify price and performance. Discussion then turns to batch transaction processing. There is less consensus on the characteristics of batch transaction processing. Consequently, much of the discussion focuses on requirements. The discussion ends with some performance measurements of utilities running on DEC Alpha AXP microprocessors and on commodity disks. These results indicate that microprocessors today have the capacity to process batch workloads at mainframe speeds. We predict that over the next few years, batch-processing software exploiting parallel processing will emerge. This, combined with commodity hardware, will provide both superior performance and price/performance ratio.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Martin H. Weik · 2000
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SpringerReference · 2011
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David A. James · Computing & Control Engineering Journal · 2006
Manufacturing batches of product presents particular problems to the automation engineer, however, following some basic design principles can result in robust and flexible batch automation systems. The ISA (originally the Instrument Society of America, now the International Society for Measurement and Control) has developed batch control standards (ISA 88 and 95) covering models, terminology, and implementation languages and data transfers. However, these are generic and open to considerable interpretation and preference.
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Jim Gray And, Jim Gray, Chris Nyberg · 1994
Today, online transaction processing applications can downsize from mainframes to microprocessors. Commodity database systems, operating systems, and hardware came of age in 1993., -- they surpassed the online transaction processing performance of proprietary solutions.
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Heng Dong (2017633), Jun Li (6494), Yanbin Yuan (4683004) et al. · Figshare · 2017
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Martin H. Weik · 2000
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Jim Bickerton · Loss Prevention Bulletin · 2003
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S. Anuradha, L.Srinivasa Rao, G.Raghu Ram · International Journal of Recent Technology and Engineering (IJRTE) · 2019
This paper mainly focus on analysis of large sets of students data with one of the batch processing analysis techniques Beyond batch process, analysis of data streaming is done based on program of word counting program which executes data with HDFS along with dynamic created data. To compute similar coherent strategies one can implement a schema named batch and streaming process which dynamically creates data. The architecture is reduced to serve as X-Platform which uses ample number of tools for batch and stream analysis on this proposed frame work. Here we use spark-sql, a query language which acts as interface for interactive process to have iterative processes. Real time streaming data processing involves spark streaming works. Here we focus on preliminary evaluation of results and analysis report which compares data sets performance and also achieve low latency rate with usage of RDD.
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Current Opinion in Biotechnology · 1997
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J. G. Dai, Li Caiwei · Operations Research · 2003
In a batch-processing network, multiple jobs can be formed into a batch to be processed in a single service operation. The network is multiclass in that several job classes may be processed at a server. Jobs in different classes cannot be mixed into a single batch. A batch policy specifies which class of jobs is to be served next. Throughput of a batch-processing network depends on the batch policy used. When the maximum batch sizes are equal to one, the corresponding network is called a standard-processing network, and the corresponding service policy is called a dispatch policy. There are many dispatch policies that have been proven to maximize the throughput in standard networks. This paper shows that any normal dispatch policy can be converted into a batch policy that preserves key stability properties. Examples of normal policies are given. These include static buffer priority (SBP), first-in-first-out (FIFO), and generalized round robin (GRR) policies.
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ulfputeysmo · Zenodo (CERN European Organization for Nuclear Research) · 2024
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Binghai Zhou A · 2016
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Current Opinion in Cell Biology · 1997
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Jan Pelikán · Hradec Economic Days ... · 2025
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