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Published by Bod - Books on Demand, 2015
ISBN 10: 3739207167 ISBN 13: 9783739207162
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Published by Bod - Books on Demand, 2015
ISBN 10: 3739207167 ISBN 13: 9783739207162
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by BoD - Books on Demand 2015-12, 2015
ISBN 10: 3739207167 ISBN 13: 9783739207162
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Published by Books on Demand GmbH, 2015
ISBN 10: 3739207167 ISBN 13: 9783739207162
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Taschenbuch. Condition: Neu. Live Trace Visualization for System and Program Comprehension in Large Software Landscapes | Florian Fittkau | Taschenbuch | 360 S. | Englisch | 2015 | Books on Demand GmbH | EAN 9783739207162 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Language: English
Published by Anchor Academic Publishing Mär 2015, 2015
ISBN 10: 3954893932 ISBN 13: 9783954893935
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. Neuware -Cloud computing is emerging as a promising new paradigm that aims at delivering computing resources and services on demand. To cope with the frequently found over- and under-provisioning of resources in conventional data centers, cloud computing technologies enable to rapidly scale up and down according to varying workload patterns. However, most software systems are not built for utilizing this so called elasticity and therefore must be adapted during the migration process into the cloud.Here, the selection of a specific cloud provider is the most obvious and basic cloud deployment option. Furthermore, the mapping between services and virtual machine instances must be considered when migrating to the cloud and the specific adaptation strategies, like allocating a new virtual machine instance if the CPU utilization is above a given threshold, have to be chosen and configured. The set of combinations of the given choices form a huge design space which is infeasible to test manually. The simulation of a cloud deployment option can assist in solving this problem. A simulation is often faster than executing real world experiments. Furthermore, the adaptation to the software system that shall be migrated requires less effort at a modeling layer. The simulation can be utilized by an automatic optimization algorithm to find the best ratio between high performance and low costs. Our main objective in this study is the implementation of a software that enables the simulation of cloud deployment options on a language independent basis.Books on Demand GmbH, Überseering 33, 22297 Hamburg 160 pp. Englisch.
Seller: California Books, Miami, FL, U.S.A.
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Language: English
Published by Anchor Academic Publishing, 2015
ISBN 10: 3954893932 ISBN 13: 9783954893935
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Language: English
Published by diplom.de 2014-10-24, 2014
ISBN 10: 3956366964 ISBN 13: 9783956366963
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Published by Anchor Academic Publishing, 2015
ISBN 10: 3954893932 ISBN 13: 9783954893935
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Published by Anchor Academic Publishing 2015-03, 2015
ISBN 10: 3954893932 ISBN 13: 9783954893935
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Language: English
Published by Books On Demand Dez 2015, 2015
ISBN 10: 3739207167 ISBN 13: 9783739207162
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 360 pp. Englisch.
Language: English
Published by Anchor Academic Publishing Mrz 2015, 2015
ISBN 10: 3954893932 ISBN 13: 9783954893935
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cloud computing is emerging as a promising new paradigm that aims at delivering computing resources and services on demand. To cope with the frequently found over- and under-provisioning of resources in conventional data centers, cloud computing technologies enable to rapidly scale up and down according to varying workload patterns. However, most software systems are not built for utilizing this so called elasticity and therefore must be adapted during the migration process into the cloud.Here, the selection of a specific cloud provider is the most obvious and basic cloud deployment option. Furthermore, the mapping between services and virtual machine instances must be considered when migrating to the cloud and the specific adaptation strategies, like allocating a new virtual machine instance if the CPU utilization is above a given threshold, have to be chosen and configured. The set of combinations of the given choices form a huge design space which is infeasible to test manually.The simulation of a cloud deployment option can assist in solving this problem. A simulation is often faster than executing real world experiments. Furthermore, the adaptation to the software system that shall be migrated requires less effort at a modeling layer. The simulation can be utilized by an automatic optimization algorithm to find the best ratio between high performance and low costs.Our main objective in this study is the implementation of a software that enables the simulation of cloud deployment options on a language independent basis. 160 pp. Englisch.
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2012 in the subject Computer Science - Software, grade: 1,0, Christian-Albrechts-University of Kiel, language: English, abstract: Cloud computing is emerging as a promising new paradigm that aims at delivering computing resources and services on demand. To cope with the frequently found over- and under-provisioning of resources in conventional data centers, cloud computing technologies enable to rapidly scale up and down according to varying workload patterns. However, most software systems are not built for utilizing this so called elasticity and therefore must be adapted during the migration process into the cloud. A challenge during migration is the high number of different possibilities for the deployment to cloud computing resources. For example, there exist a plethora of potential cloud provider candidates. Here, the selection of a specific cloud provider is the most obvious and basic cloud deployment option. Furthermore, the mapping between services and virtual machine instances must be considered when migrating to the cloud and the specific adaptation strategies, like allocating a new virtual machine instance if the CPU utilization is above a given threshold, have to be chosen and configured. The set of combinations of the given choices form a huge design space which is infeasible to test manually. Simulating the different deployment options assists to find the best ratio between high performance and low costs.For this purpose, we developed a simulation tool named CDOSim that can simulate those cloud deployment options. CDOSim integrates into the cloud migration framework CloudMIG Xpress and utilizes KDM models that were extracted by a reverse engineering process. Furthermore, it is possible to use monitored workload profiles as a simulation input. Our evaluation shows that CDOSim's simulation results can support software engineers to sufficiently accurate predict the cost and performance properties of software systems when deployed to private and real world public cloud environments such as Eucalyptus and Amazon EC2, respectively. Thus, CDOSim can be used for the simulation of cloud deployment options and assists to find the best suited cloud deployment option for existing software systems. 156 pp. Englisch.
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In many enterprises, the number of deployed applications is constantly increasing. Those applications - often several hundreds - form large software landscapes. The comprehension of such landscapes is frequently impeded due to, for instance, architectural e.
Language: English
Published by Anchor Academic Publishing, 2015
ISBN 10: 3954893932 ISBN 13: 9783954893935
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 160.
Language: English
Published by Anchor Academic Publishing, 2015
ISBN 10: 3954893932 ISBN 13: 9783954893935
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Cloud computing is emerging as a promising new paradigm that aims at delivering computing resources and services on demand. To cope with the frequently found over- and under-provisioning of resources in conventional data centers, cloud computing technologie.
Language: English
Published by GRIN Verlag|diplom.de, 2014
ISBN 10: 3956366964 ISBN 13: 9783956366963
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Master s Thesis from the year 2012 in the subject Computer Science - Software, grade: 1,0, Christian-Albrechts-University of Kiel, language: English, abstract: Cloud computing is emerging as a promising new paradigm that aims at delivering computing resourc.
Language: English
Published by Anchor Academic Publishing, 2015
ISBN 10: 3954893932 ISBN 13: 9783954893935
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Print on Demand pp. 160.
Language: English
Published by Bod - Books On Demand, Bod - Books On Demand, 2015
ISBN 10: 3739207167 ISBN 13: 9783739207162
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Language: English
Published by Anchor Academic Publishing, 2015
ISBN 10: 3954893932 ISBN 13: 9783954893935
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. 160.