國立虎尾科技大學 |

Large Scale Data Transfers in Cloud-Based Systems.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Large Scale Data Transfers in Cloud-Based Systems./
作者:	Bommala, Uday Kumar.
面頁冊數:	1 online resource (66 pages)
附註:	Source: Masters Abstracts International, Volume: 85-01.
Contained By:	Masters Abstracts International85-01.
標題:	Information science. -
電子資源:	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:

561178
Information science.
Subjects--Index Terms:

Cloud transferIndex Terms--Genre/Form:

554714
Electronic books.

Large Scale Data Transfers in Cloud-Based Systems.
LDR:02707ntm a22004097 4500 001 1142966
005 20240513061035.5
006 m o d
007 cr mn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798379918064
035 $a (MiAaPQ)AAI30566470
035 $a AAI30566470
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Bommala, Uday Kumar. $3 1467505
245 1 0 $a Large Scale Data Transfers in Cloud-Based Systems.
264 0 $c 2023
300 $a 1 online resource (66 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 85-01.
500 $a Advisor: Mukheerjee, Tathagata.
502 $a Thesis (M.S.)--The University of Alabama in Huntsville, 2023.
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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Information science. $3 561178
650 4 $a Information technology. $3 559429
650 4 $a Computer science. $3 573171
653 $a Cloud transfer
653 $a Data orchestration
653 $a Data transfer
653 $a Data transfer framework
653 $a High performance
653 $a High-volume data
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
690 $a 0489
690 $a 0723
710 2 $a The University of Alabama in Huntsville. $b Computer Science. $3 1467506
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Masters Abstracts International $g 85-01.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30566470 $z click for full text (PQDT)