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Large Scale Data Transfers in Cloud-Based Systems.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Large Scale Data Transfers in Cloud-Based Systems./
Author:	Bommala, Uday Kumar.
Description:	1 online resource (66 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-01.
Contained By:	Masters Abstracts International85-01.
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9798379918064

Large Scale Data Transfers in Cloud-Based Systems.
Bommala, Uday Kumar.

Large Scale Data Transfers in Cloud-Based Systems. - 1 online resource (66 pages)

Source: Masters Abstracts International, Volume: 85-01.

Thesis (M.S.)--The University of Alabama in Huntsville, 2023.

Includes bibliographical references

This thesis focuses on developing a high-performance, scalable, and efficient data transfer framework with configurable and extensible features. The exponential growth of high-volume data poses collaboration challenges for big data providers, particularly in global-scale scientific research. The Earth's scientific sector experiences an ongoing trend of increasing temporal and spatial data resolution, resulting in massive data archives at organizations like NASA, ESA, and JAXA. To facilitate efficient scientific study with partner agencies worldwide, data transfer solutions must handle this vast data volume across platforms at reasonable costs. The thesis proposes a 3-phase approach (analysis, evaluation, and implementation) to address the implementation of the data transfer solution. The evaluation challenge is addressed by building a system that assesses available technologies for high-volume, high-velocity cloud-based data transfer solutions and a suitable solution is finally selected. The final implementation is constructed with an orchestration layer, a catalog server, and a dashboard around this solution. As a use case, this system is tested using the European Space Agency's Sentinel-2 data archive, which is transferred from cloud servers in mainland Europe to NASA AWS servers in the US-west-2 area.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379918064Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Cloud transferIndex Terms--Genre/Form:

554714
Electronic books.

Large Scale Data Transfers in Cloud-Based Systems.
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504 $a Includes bibliographical references
520 $a This thesis focuses on developing a high-performance, scalable, and efficient data transfer framework with configurable and extensible features. The exponential growth of high-volume data poses collaboration challenges for big data providers, particularly in global-scale scientific research. The Earth's scientific sector experiences an ongoing trend of increasing temporal and spatial data resolution, resulting in massive data archives at organizations like NASA, ESA, and JAXA. To facilitate efficient scientific study with partner agencies worldwide, data transfer solutions must handle this vast data volume across platforms at reasonable costs. The thesis proposes a 3-phase approach (analysis, evaluation, and implementation) to address the implementation of the data transfer solution. The evaluation challenge is addressed by building a system that assesses available technologies for high-volume, high-velocity cloud-based data transfer solutions and a suitable solution is finally selected. The final implementation is constructed with an orchestration layer, a catalog server, and a dashboard around this solution. As a use case, this system is tested using the European Space Agency's Sentinel-2 data archive, which is transferred from cloud servers in mainland Europe to NASA AWS servers in the US-west-2 area.
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653 $a Data orchestration
653 $a Data transfer
653 $a Data transfer framework
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