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Sinopsis
Cloud Computing has brought a huge impact in IT industry. Computing resources are easier to get in Cloud Computing. Briefly speaking, Cloud Computing is a resource pool, which contains a masssive amount of interconnected computers. Under such background, in order to make full use of the network, Google initiated MapReduce model. This model is an implementation of Parallel Computing, which aims at processing large amount of data. Given certain computing resources and MapReduce model, this book gives some thinking about how to estimate the time consumption of a huge computation task. Based on classical Parallel Computing theories, this book proposed two models to estimate the time consumption. It also gives conclusions about what type of computation task is estimatable. The experiments in this book are easy to implement, which are very suitable references for Cloud Computing fans.
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Reseña del editor
Cloud Computing has brought a huge impact in IT industry. Computing resources are easier to get in Cloud Computing. Briefly speaking, Cloud Computing is a resource pool, which contains a masssive amount of interconnected computers. Under such background, in order to make full use of the network, Google initiated MapReduce model. This model is an implementation of Parallel Computing, which aims at processing large amount of data. Given certain computing resources and MapReduce model, this book gives some thinking about how to estimate the time consumption of a huge computation task. Based on classical Parallel Computing theories, this book proposed two models to estimate the time consumption. It also gives conclusions about what type of computation task is estimatable. The experiments in this book are easy to implement, which are very suitable references for Cloud Computing fans.
Biografía del autor
Li Jian is a master student from Agder University(UiA), who is currently working as a technology consultant in NEVER.NO AS, Norway. His main research area is Cloud Computing. He is now applying Amazon Cloud to broadcasting industry.
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Large scale data processing in Hadoop MapReduce scenario
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LAP LAMBERT Academic Publishing Jul 2012, 2012
ISBN 10: 3659155160
ISBN 13: 9783659155161
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cloud Computing has brought a huge impact in IT industry. Computing resources are easier to get in Cloud Computing. Briefly speaking, Cloud Computing is a resource pool, which contains a masssive amount of interconnected computers. Under such background, in order to make full use of the network, Google initiated MapReduce model. This model is an implementation of Parallel Computing, which aims at processing large amount of data. Given certain computing resources and MapReduce model, this book gives some thinking about how to estimate the time consumption of a huge computation task. Based on classical Parallel Computing theories, this book proposed two models to estimate the time consumption. It also gives conclusions about what type of computation task is estimatable. The experiments in this book are easy to implement, which are very suitable references for Cloud Computing fans. 68 pp. Englisch. Nº de ref. del artículo: 9783659155161
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Large scale data processing in Hadoop MapReduce scenario : Time estimation and computation models
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659155160
ISBN 13: 9783659155161
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cloud Computing has brought a huge impact in IT industry. Computing resources are easier to get in Cloud Computing. Briefly speaking, Cloud Computing is a resource pool, which contains a masssive amount of interconnected computers. Under such background, in order to make full use of the network, Google initiated MapReduce model. This model is an implementation of Parallel Computing, which aims at processing large amount of data. Given certain computing resources and MapReduce model, this book gives some thinking about how to estimate the time consumption of a huge computation task. Based on classical Parallel Computing theories, this book proposed two models to estimate the time consumption. It also gives conclusions about what type of computation task is estimatable. The experiments in this book are easy to implement, which are very suitable references for Cloud Computing fans. Nº de ref. del artículo: 9783659155161
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Large scale data processing in Hadoop MapReduce scenario
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659155160
ISBN 13: 9783659155161
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jian LiLi Jian is a master student from Agder University(UiA), who is currently working as a technology consultant in NEVER.NO AS, Norway. His main research area is Cloud Computing. He is now applying Amazon Cloud to broadcasting ind. Nº de ref. del artículo: 5135527
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Large scale data processing in Hadoop MapReduce scenario
Publicado por
LAP LAMBERT Academic Publishing Jul 2012, 2012
ISBN 10: 3659155160
ISBN 13: 9783659155161
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Cloud Computing has brought a huge impact in IT industry. Computing resources are easier to get in Cloud Computing. Briefly speaking, Cloud Computing is a resource pool, which contains a masssive amount of interconnected computers. Under such background, in order to make full use of the network, Google initiated MapReduce model. This model is an implementation of Parallel Computing, which aims at processing large amount of data. Given certain computing resources and MapReduce model, this book gives some thinking about how to estimate the time consumption of a huge computation task. Based on classical Parallel Computing theories, this book proposed two models to estimate the time consumption. It also gives conclusions about what type of computation task is estimatable. The experiments in this book are easy to implement, which are very suitable references for Cloud Computing fans.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 68 pp. Englisch. Nº de ref. del artículo: 9783659155161
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Large scale data processing in Hadoop MapReduce scenario | Time estimation and computation models
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659155160
ISBN 13: 9783659155161
Nuevo
Taschenbuch
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Large scale data processing in Hadoop MapReduce scenario | Time estimation and computation models | Li Jian | Taschenbuch | 68 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659155161 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106381606
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