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Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure

Jha, Shantenu and Katz, S Daniel and Luckow, Andre and Hong, Neil Chue and Rana, Omer and Simmhan, Yogesh (2017) Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure. In: CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 29 (8).

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Official URL: http://dx.doi.org/10.1002/cpe.4032

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. Datasets are growing larger and becoming distributed; 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.

Item Type: Journal Article
Additional Information: Copy right for this article belongs to the WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
Department/Centre: Division of Interdisciplinary Research > Computational and Data Sciences
Depositing User: Id for Latest eprints
Date Deposited: 20 May 2017 05:25
Last Modified: 23 Oct 2018 14:46
URI: http://eprints.iisc.ac.in/id/eprint/56896

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