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Temporal QOS Management in Scientific Cloud Workflow Systems
 
 

Temporal QOS Management in Scientific Cloud Workflow Systems, 1st Edition

 
Temporal QOS Management in Scientific Cloud Workflow Systems, 1st Edition,Xiao Liu,Jinjun Chen,Yun Yang,ISBN9780123970107
 
 
 

  &      &      

Elsevier

9780123970107

9780123972958

154

229 X 152

Offers a comprehensive framework to support the lifecycle of time-constrained workflow applications

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Key Features

  • 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

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.

Readership

Researchers, practitioners, and graduate students in scientific computing.

Xiao Liu

Xiao Liu received his PhD degree in Computer Science and Software Engineering from the Faculty of Information and Communication Technologies at Swinburne University of Technology, Melbourne, Australia in 2011. He received his Master and Bachelor degree from the School of Management, Hefei University of Technology, Hefei, China, in 2007 and 2004 respectively, all in Information Management and Information Systems. He is currently a postdoctoral research fellow in the Centre of Computing and Engineering Software System at Swinburne University of Technology. His research interests include workflow management systems, scientific workflows, cloud computing, business process management and quality of service.

Affiliations and Expertise

Swinburne University of Technology, Melbourne, Australia

Jinjun Chen

Jinjun Chen received his PhD degree in Computer Science and Software Engineering from Swinburne University of Technology, Melbourne, Australia in 2007. He is currently an Associate Professor in the Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia. His research interests include Scientific workflow management and applications, workflow management and applications in Web service or SOC environments, workflow management and applications in grid (service)/cloud computing environments, software verification and validation in workflow systems, QoS and resource scheduling in distributed computing systems such as cloud computing, service oriented computing, semantics and knowledge management, cloud computing.

Affiliations and Expertise

University of Technology, Sydney, Australia

Yun Yang

Yun Yang received a Master of Engineering degree from The University of Science and Technology of China, Hefei, China, in 1987, and a PhD degree from The University of Queensland, Brisbane, Australia, in 1992, all in computer science. He is currently a full Professor in the Faculty of Information and Communication Technologies at Swinburne University of Technology, Melbourne, Australia. Prior to joining Swinburne as an Associate Professor in late 1999, he was a Lecturer and Senior Lecturer at Deakin University during 1996-1999. Before that, he was a Research Scientist at DSTC - Cooperative Research Centre for Distributed Systems Technology during 1993-1996. He also worked at Beihang University in China during 1987-1988. He has published about 200 papers on journals and refereed conferences. His research interests include software engineering; p2p, grid and cloud computing; workflow systems; service-oriented computing; Internet computing applications; and CSCW.

Affiliations and Expertise

Swinburne University of Technology, Melbourne, Australia

Temporal QOS Management in Scientific Cloud Workflow Systems, 1st Edition

Chapter 1 Introduction

1.1 Temporal QoS in Scientific Cloud Workflow Systems

1.2 Motivating Example and Problem Analysis

1.3 Key Issues of This Research

1.4 Overview of this Book

Chapter 2 Literature Review and Problem Analysis

2.1 Workflow Temporal QoS

2.2 Temporal Consistency Model

2.3 Temporal Constraint Setting

2.4 Temporal Consistency Monitoring

2.5 Temporal Violation Handling

Chapter 3 A Scientific Cloud Workflow System

Chapter 4 Novel Probabilistic Temporal Framework

4.1 Framework Overview

4.2 Component 1: Temporal Constraint Setting

4.3 Component 2: Temporal Consistency Monitoring

4.4 Component 3: Temporal Violation Handling

Chapter 5 Forecasting Scientific Cloud Workflow Activity Duration Intervals

5.1 Cloud Workflow Activity Durations

5.2 Related Work and Problem Analysis

5.3 Statistical Time-Series Pattern Based Forecasting Strategy

5.4 Evaluation

Chapter 6 Temporal Constraint Setting

6.1 Related Work and Problem Analysis

6.2 Probability Based Temporal Consistency Model

6.3 Setting Temporal Constraints

6.4 Case Study

Chapter 7 Temporal Checkpoint Selection and Temporal Verification

7.1 Related Work and Problem Analysis

7.2 Temporal Checkpoint Selection and Verification Strategy

7.3 Evaluation

Chapter 8 Temporal Violation Handling Point Selection

8.1 Related Work and Problem Analysis

8.2 Adaptive Temporal Violation Handling Point Selection Strategy

8.3 Evaluation

Chapter 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

Chapter 10 Conclusions and Contribution

10.1 Overall Cost Analysis for Temporal Framework

10.2 Summary of This Book

10.3 Contributions of This Book

Bibliography

Appendix: Notation Index

 
 
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