Cloud computing: data-intensive computing and scheduling
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boca Raton
CRC Press
2013
|
Schlagworte: | |
Beschreibung: | Includes bibliographical references "This practical book delves into new cloud computing technologies and indicates the main challenges for their development in the future, especially for resource management problems. By systematizing cloud resource management problems, it helps knowledgeable readers who are not subject matter experts in a topic but want to have an in-depth analysis. It provides a parallel programming model, MapReduce, to parallelize multidimensional analytical query processing. The text includes how to master the fundamental concepts and programming models and apply them successfully to reach objectives. The authors discuss how to maximize the value of existing scheduling algorithms from a theoretical point of view"-- |
Beschreibung: | 1 Online-Ressource (xxiii, 202 p.) |
ISBN: | 9781466507821 9781466507838 |
Internformat
MARC
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100 | 1 | |a Magoulès, F., (Frédéric) |e Verfasser |4 aut | |
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300 | |a 1 Online-Ressource (xxiii, 202 p.) | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Includes bibliographical references | ||
500 | |a "This practical book delves into new cloud computing technologies and indicates the main challenges for their development in the future, especially for resource management problems. By systematizing cloud resource management problems, it helps knowledgeable readers who are not subject matter experts in a topic but want to have an in-depth analysis. It provides a parallel programming model, MapReduce, to parallelize multidimensional analytical query processing. The text includes how to master the fundamental concepts and programming models and apply them successfully to reach objectives. The authors discuss how to maximize the value of existing scheduling algorithms from a theoretical point of view"-- | ||
650 | 4 | |a Cloud computing | |
650 | 4 | |a Parallel programs (Computer programs) | |
650 | 4 | |a Computer scheduling | |
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700 | 1 | |a Pan, Jie |e Sonstige |4 oth | |
700 | 1 | |a Teng, Fei |e Sonstige |4 oth | |
912 | |a ZDB-38-EBR | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-027215957 | ||
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk |
Datensatz im Suchindex
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any_adam_object | |
author | Magoulès, F., (Frédéric) |
author_facet | Magoulès, F., (Frédéric) |
author_role | aut |
author_sort | Magoulès, F., (Frédéric) |
author_variant | f f m ff ffm |
building | Verbundindex |
bvnumber | BV041769933 |
collection | ZDB-38-EBR |
ctrlnum | (OCoLC)813844857 (DE-599)BVBBV041769933 |
dewey-full | 004.6782 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 004 - Computer science |
dewey-raw | 004.6782 |
dewey-search | 004.6782 |
dewey-sort | 14.6782 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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id | DE-604.BV041769933 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:04:59Z |
institution | BVB |
isbn | 9781466507821 9781466507838 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027215957 |
oclc_num | 813844857 |
open_access_boolean | |
physical | 1 Online-Ressource (xxiii, 202 p.) |
psigel | ZDB-38-EBR |
publishDate | 2013 |
publishDateSearch | 2013 |
publishDateSort | 2013 |
publisher | CRC Press |
record_format | marc |
spelling | Magoulès, F., (Frédéric) Verfasser aut Cloud computing data-intensive computing and scheduling Frédéric Magoulès, Jie Pan, and Fei Teng Boca Raton CRC Press 2013 1 Online-Ressource (xxiii, 202 p.) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references "This practical book delves into new cloud computing technologies and indicates the main challenges for their development in the future, especially for resource management problems. By systematizing cloud resource management problems, it helps knowledgeable readers who are not subject matter experts in a topic but want to have an in-depth analysis. It provides a parallel programming model, MapReduce, to parallelize multidimensional analytical query processing. The text includes how to master the fundamental concepts and programming models and apply them successfully to reach objectives. The authors discuss how to maximize the value of existing scheduling algorithms from a theoretical point of view"-- Cloud computing Parallel programs (Computer programs) Computer scheduling Cloud Computing (DE-588)7623494-0 gnd rswk-swf Cloud Computing (DE-588)7623494-0 s 1\p DE-604 Pan, Jie Sonstige oth Teng, Fei Sonstige oth 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Magoulès, F., (Frédéric) Cloud computing data-intensive computing and scheduling Cloud computing Parallel programs (Computer programs) Computer scheduling Cloud Computing (DE-588)7623494-0 gnd |
subject_GND | (DE-588)7623494-0 |
title | Cloud computing data-intensive computing and scheduling |
title_auth | Cloud computing data-intensive computing and scheduling |
title_exact_search | Cloud computing data-intensive computing and scheduling |
title_full | Cloud computing data-intensive computing and scheduling Frédéric Magoulès, Jie Pan, and Fei Teng |
title_fullStr | Cloud computing data-intensive computing and scheduling Frédéric Magoulès, Jie Pan, and Fei Teng |
title_full_unstemmed | Cloud computing data-intensive computing and scheduling Frédéric Magoulès, Jie Pan, and Fei Teng |
title_short | Cloud computing |
title_sort | cloud computing data intensive computing and scheduling |
title_sub | data-intensive computing and scheduling |
topic | Cloud computing Parallel programs (Computer programs) Computer scheduling Cloud Computing (DE-588)7623494-0 gnd |
topic_facet | Cloud computing Parallel programs (Computer programs) Computer scheduling Cloud Computing |
work_keys_str_mv | AT magoulesffrederic cloudcomputingdataintensivecomputingandscheduling AT panjie cloudcomputingdataintensivecomputingandscheduling AT tengfei cloudcomputingdataintensivecomputingandscheduling |