This book will serve as a guide in understanding workflow scheduling techniques on computing systems such as Cluster, Supercomputers, Grid computing, Cloud computing, Edge computing, Fog computing, and the practical realization of such methods.
It offers a whole new perspective and holistic approach in understanding computing systems' workflow scheduling. Expressing and exposing approaches for various process-centric cloud-based applications give a full coverage of most systems' energy consumption, reliability, resource utilization, cost, and application stochastic computation. By combining theory with application and connecting mathematical concepts and models with their resource management targets, this book will be equally accessible to readers with both Computer Science and Engineering backgrounds.
It will be of great interest to students and professionals alike in the field of computing system design, management, and application. This book will also be beneficial to the general audience and technology enthusiasts who want to expand their knowledge on computer structure.

eBook - ePub
Workflow Scheduling on Computing Systems
- 248 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Workflow Scheduling on Computing Systems
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Table of contents
- Cover Page
- Half-Title Page
- Title Page
- Copyright Page
- Contents
- List of Figures
- List of Tables
- Foreword
- Author Bios
- Preface
- Chapter 1 ■ Computing Systems
- Chapter 2 ■ Classical Workflow Scheduling
- Chapter 3 ■ Stochastic Task Scheduling on Grid Computing Systems
- Chapter 4 ■ Scheduling Stochastic Tasks on Heterogeneous Cluster Systems
- Chapter 5 ■ Reliability-Energy-Aware Scheduling algorithm
- Chapter 6 ■ Energy Consumption and Reliability Bi-objective Workflow Scheduling
- Chapter 7 ■ Interconnection Network Energy-Aware Scheduling Algorithm
- Chapter 8 ■ Resource-Aware Duplication-Minimization Scheduling Algorithm
- Chapter 9 ■ Contention-Aware Reliability Efficient Scheduling
- Bibliography
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Yes, you can access Workflow Scheduling on Computing Systems by Kenli Li,Xiaoyong Tang,Jing Mei,Longxin Zhang,Wangdong Yang,Keqin Li in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over 1.5 million books available in our catalogue for you to explore.