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• W2952568611 abstract "A common feature across many science and engineering applications is the amount and diversity of data and computation that must be integrated to yield insights. Data sets are growing larger and becoming distributed; and their location, availability and properties are often time-dependent. Collectively, these characteristics give rise to dynamic distributed data-intensive applications. While static data applications have received significant attention, the characteristics, requirements, and software systems for the analysis of large volumes of dynamic, distributed data, and data-intensive applications have received relatively less attention. This paper surveys several representative dynamic distributed data-intensive application scenarios, provides a common conceptual framework to understand them, and examines the infrastructure used in support of applications." @default.
• W2952568611 created "2019-06-27" @default.
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• W2952568611 date "2016-09-13" @default.
• W2952568611 modified "2023-09-27" @default.
• W2952568611 title "Introducing Distributed Dynamic Data-intensive (D3) Science: Understanding Applications and Infrastructure" @default.
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• W2952568611 hasPublicationYear "2016" @default.
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