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Data Logistics: Toolkit and Applications

Published: 25 September 2019 Publication History

Abstract

We live in an age of highly distributed collaboration in nearly every field of science coupled with widely disparate technological capabilities. Such heterogeneity makes the movement and management of data that supports scientific and end-user communities a global challenge, particularly when placed in the context of under-served populations without access to advanced network and storage infrastructure. This paper describes an approach known as Data Logistics as a model for exposing generic storage throughout the network, enabling broader access to data sharing capabilities supporting a wide range of devices and networking infrastructure. We present a survey of the underlying Data Logistics technologies, the software components and packaging, and some representative applications of our approach that highlight its use in different environments.

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GoodTechs '19: Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good
September 2019
272 pages
ISBN:9781450362610
DOI:10.1145/3342428
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 25 September 2019

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  1. edge
  2. logistical
  3. storage

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