Screen LibraryTemporal QOS management in scientific cloud workflow systems
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| Main Authors: | |
|---|---|
| Group Author: | ; |
| Published: |
Elsevier,
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| Publisher Address: | Waltham, MA |
| Publication Dates: | c2012. |
| Literature type: | Book |
| Language: | English |
| Series: |
Elsevier insights |
| Subjects: | |
| Carrier Form: | xiv, 140 p.: ill. ; 23 cm. |
| ISBN: |
9780123970107 (pbk.) 0123970105 |
| Index Number: | TP393 |
| CLC: | TP393.02 |
| Call Number: | TP393.02/L783 |
| Contents: |
Includes bibliographical references and index. Chapter 1 Introduction -- Chapter 2 Literature Review and Problem Analysis -- Chapter 3 A Scientific Cloud Workflow System -- Chapter 4 Novel Probabilistic Temporal Framework -- Chapter 5 Forecasting Scientific Cloud Workflow Activity Duration Intervals -- Chapter 6 Temporal Constraint Setting -- Chapter 7 Temporal Checkpoint Selection and Temporal Verification -- Chapter 8 Temporal Violation Handling Point Selection -- Chapter 9 Temporal Violation Handling -- Chapter 10 Conclusions and Contribution Bibliography. 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 |