Temporal QOS management in scientific cloud workflow systems:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Waltham, MA
Elsevier
2012
|
| Schriftenreihe: | Elsevier insights
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying cloud computing infrastructures. Temporal QOS Management in Scientific Cloud Workflow Systems focuses on real world scientific applications which often must be completed by satisfying a set of temporal constraints such as milestones and deadlines. Meanwhile, activity duration, as a measurement of system performance, often needs to be monitored and controlled. This book demonstrates how to guarantee on-time completion of most, if not all, workflow applications. Offering a comprehensive framework to support the lifecycle of time-constrained workflow applications, this book will enhance the overall performance and usability of scientific cloud workflow systems. Explains how to reduce the cost to detect and handle temporal violations while delivering high quality of service (QoS) Offers new concepts, innovative strategies and algorithms to support large-scale sophisticated applications in the cloud Improves the overall performance and usability of cloud workflow systems Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (xiv, 140 pages) |
| ISBN: | 9780123970107 0123970105 9780123972958 0123972957 |
Internformat
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| 264 | 1 | |a Waltham, MA |b Elsevier |c 2012 | |
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| 500 | |a Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying cloud computing infrastructures. Temporal QOS Management in Scientific Cloud Workflow Systems focuses on real world scientific applications which often must be completed by satisfying a set of temporal constraints such as milestones and deadlines. Meanwhile, activity duration, as a measurement of system performance, often needs to be monitored and controlled. This book demonstrates how to guarantee on-time completion of most, if not all, workflow applications. Offering a comprehensive framework to support the lifecycle of time-constrained workflow applications, this book will enhance the overall performance and usability of scientific cloud workflow systems. Explains how to reduce the cost to detect and handle temporal violations while delivering high quality of service (QoS) Offers new concepts, innovative strategies and algorithms to support large-scale sophisticated applications in the cloud Improves the overall performance and usability of cloud workflow systems | ||
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Datensatz im Suchindex
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| any_adam_object | |
| author | Liu, Xiao |
| author_facet | Liu, Xiao |
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| author_sort | Liu, Xiao |
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| 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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| language | English |
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| spelling | Liu, Xiao Verfasser aut Temporal QOS management in scientific cloud workflow systems Xiao Liu, Jinjun Chen, Yun Yang Waltham, MA Elsevier 2012 1 Online-Ressource (xiv, 140 pages) txt rdacontent c rdamedia cr rdacarrier Elsevier insights Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying cloud computing infrastructures. Temporal QOS Management in Scientific Cloud Workflow Systems focuses on real world scientific applications which often must be completed by satisfying a set of temporal constraints such as milestones and deadlines. Meanwhile, activity duration, as a measurement of system performance, often needs to be monitored and controlled. This book demonstrates how to guarantee on-time completion of most, if not all, workflow applications. Offering a comprehensive framework to support the lifecycle of time-constrained workflow applications, this book will enhance the overall performance and usability of scientific cloud workflow systems. Explains how to reduce the cost to detect and handle temporal violations while delivering high quality of service (QoS) Offers new concepts, innovative strategies and algorithms to support large-scale sophisticated applications in the cloud Improves the overall performance and usability of cloud workflow systems Includes bibliographical references and index Cloud computing Workflow / Management Quality control COMPUTERS / Networking / Intranets & Extranets bisacsh COMPUTERS / Web / General bisacsh Workflow Management Cloud Computing (DE-588)7623494-0 gnd rswk-swf Qualitätskontrolle (DE-588)4047968-7 gnd rswk-swf Cloud Computing (DE-588)7623494-0 s Qualitätskontrolle (DE-588)4047968-7 s 1\p DE-604 Chen, Jinjun Sonstige oth Yang, Yun Sonstige oth http://www.sciencedirect.com/science/book/9780123970107 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Liu, Xiao Temporal QOS management in scientific cloud workflow systems Cloud computing Workflow / Management Quality control COMPUTERS / Networking / Intranets & Extranets bisacsh COMPUTERS / Web / General bisacsh Workflow Management Cloud Computing (DE-588)7623494-0 gnd Qualitätskontrolle (DE-588)4047968-7 gnd |
| subject_GND | (DE-588)7623494-0 (DE-588)4047968-7 |
| title | Temporal QOS management in scientific cloud workflow systems |
| title_auth | Temporal QOS management in scientific cloud workflow systems |
| title_exact_search | Temporal QOS management in scientific cloud workflow systems |
| title_full | Temporal QOS management in scientific cloud workflow systems Xiao Liu, Jinjun Chen, Yun Yang |
| title_fullStr | Temporal QOS management in scientific cloud workflow systems Xiao Liu, Jinjun Chen, Yun Yang |
| title_full_unstemmed | Temporal QOS management in scientific cloud workflow systems Xiao Liu, Jinjun Chen, Yun Yang |
| title_short | Temporal QOS management in scientific cloud workflow systems |
| title_sort | temporal qos management in scientific cloud workflow systems |
| topic | Cloud computing Workflow / Management Quality control COMPUTERS / Networking / Intranets & Extranets bisacsh COMPUTERS / Web / General bisacsh Workflow Management Cloud Computing (DE-588)7623494-0 gnd Qualitätskontrolle (DE-588)4047968-7 gnd |
| topic_facet | Cloud computing Workflow / Management Quality control COMPUTERS / Networking / Intranets & Extranets COMPUTERS / Web / General Workflow Management Cloud Computing Qualitätskontrolle |
| url | http://www.sciencedirect.com/science/book/9780123970107 |
| work_keys_str_mv | AT liuxiao temporalqosmanagementinscientificcloudworkflowsystems AT chenjinjun temporalqosmanagementinscientificcloudworkflowsystems AT yangyun temporalqosmanagementinscientificcloudworkflowsystems |