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2004•Unpublished venueRequires access

Decision Support Systems

William L. Smith

Open publisher page 16 citations

Abstract

The majority of database applications process many small concurrent update transactions. A bank’s automated teller machine (ATM) system, which must allow for thousands of withdrawal, deposit and transfer transactions to happen concurrently, is a typical example of such an application. This type of processing is known as online transaction processing (OLTP), and databases used to support such processing need to meet the strict ACID properties of transaction processing (see Chapter 8). OLTP is often measured in terms of transaction throughput: the number of committed transactions per second. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

About this research paper

What this paper is about

The majority of database applications process many small concurrent update transactions. A bank’s automated teller machine (ATM) system, which must allow for thousands of withdrawal, deposit and transfer transactions to happen concurrently, is a typical example of such an application. This type of processing is known as online transaction processing (OLTP), and databases used to support such processing need to meet the strict ACID properties of transaction processing (see Chapter 8). OLTP is often measured in terms of transaction throughput: the number of committed transactions per second. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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OpenAlex reports 16 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The majority of database applications process many small concurrent update transactions. A bank’s automated teller machine (ATM) system, which must allow for thousands of withdrawal, deposit and transfer transactions to happen concurrently, is a typical example of such an application. This type of processing is known as online transaction processing (OLTP), and databases used to support such processing need to meet the strict ACID properties of transaction processing (see Chapter 8). OLTP is often measured in terms of transaction throughput: the number of committed transactions per second. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: Online transaction processing, Transaction processing, Transaction processing system, Distributed transaction, Database transaction, Computer science, Database, Compensating transaction

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