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
Cooperative Control of Multi-Agent Systems
Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due …
book
Practical Service Level Management: Delivering High-Quality Web-Based Services
Measure, manage, and improve the speed and reliability of web services Complete reference for creating relevant, …
book
Complexity Challenges in Cyber Physical Systems
Offers a one-stop reference on the application of advanced modeling and simulation (M&S) in cyber physical …
book
Intelligent Sensor Networks
In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target …