Book description
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
Table of contents
- Cover Image
- Content
- Title
- Copyright
- Preface
- Acknowledgements
- About the Authors
- 1. Introduction
- 2. Literature Review and Problem Analysis
- 3. A Scientific Cloud Workflow System
- 4. Novel Probabilistic Temporal Framework
- COMPONENT I. Temporal Constraint Setting
- COMPONENT II. Temporal Consistency Monitoring
-
COMPONENT III. Temporal Violation Handling
- 8. Temporal Violation Handling Point Selection
-
9. Temporal Violation Handling
- 9.1 Related Work and Problem Analysis
- 9.2 Overview of Temporal Violation Handling Strategies
- 9.3 A Novel General Two-Stage Local Workflow Rescheduling Strategy for Recoverable Temporal Violations
- 9.4 Three-Level Temporal Violation Handling Strategy
- 9.5 Comparison of GA- and ACO-based Workflow Rescheduling Strategies
- 9.6 Evaluation of Three-Level Temporal Violation Handling Strategy
- 10. Conclusions and Contribution
- APPENDIX. Notation Index
- Bibliography
Product information
- Title: Temporal QOS Management in Scientific Cloud Workflow Systems
- Author(s):
- Release date: February 2012
- Publisher(s): Elsevier
- ISBN: 9780123972958
You might also like
book
Microservices Patterns
Microservices Patterns teaches you how to develop and deploy production-quality microservices-based applications. This invaluable set of …
book
Kubernetes in Action
Kubernetes in Action teaches you to use Kubernetes to deploy container-based distributed applications. You'll start with …
video
Velocity Conference - New York, NY 2018
What was Velocity New York October 2018? It was four days devoted to web operations, distributed …
book
Site Reliability Engineering
The overwhelming majority of a software system’s lifespan is spent in use, not in design or …