Titlebook: Beyond Databases, Architectures and Structures; 11th International C Stanisław Kozielski,Dariusz Mrozek,Daniel Kostrzew Conference proceedi

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Catherine Griffith PhD,Scott Greenspan MSis performed on a real banking system model which includes data structures characteristic to banking systems - structures supporting bank accounts, and reflecting a typical bank organization. Experimental results are compared with results of a real banking system.

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Catherine Griffith PhD,Scott Greenspan MSThis also requires to replay the original workload in the test environment by simulating client’s activity on many workstations. In the paper, we show how this task can be realized with the use of many Workload Replay Agents working in Microsoft Azure public cloud. We present model and architecture

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Catherine Griffith PhD,Scott Greenspan MSrpora use either relational databases or indexed file systems. When selecting a data storage system, most important facts to consider are the speeds of data insertion and information retrieval. Other than the aforementioned two approaches, currently there are various database systems which have diff

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Christopher A. Sink,Myya Cooney,Clara Adkinsllows users to create and manipulate temporal data in a significantly simpler way instead of implementing the same features using triggers and database applications. In this article we examine the creation and manipulation of temporal data using built-in temporal logic and compare its performance wi

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Patrick M. Krueger,Sarah A. Burgardgs storing update operations. Read operations can be performed on different levels of consistency (from strong to eventual consistency), realizing so-called service level agreements (SLA). In this way the trade-off among availability/latency, partition tolerance and consistency is considered. We dis

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