Cloud Broker and Cloudlet for Workflow Scheduling

  • Chan-Hyun Youn
  • Min Chen
  • Patrizio Dazzi

Part of the KAIST Research Series book series (KAISTRS)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Chan-Hyun Youn, Min Chen, Patrizio Dazzi
    Pages 1-45
  3. Chan-Hyun Youn, Min Chen, Patrizio Dazzi
    Pages 47-73
  4. Chan-Hyun Youn, Min Chen, Patrizio Dazzi
    Pages 75-103
  5. Chan-Hyun Youn, Min Chen, Patrizio Dazzi
    Pages 135-146
  6. Chan-Hyun Youn, Min Chen, Patrizio Dazzi
    Pages 147-171
  7. Chan-Hyun Youn, Min Chen, Patrizio Dazzi
    Pages 173-189
  8. Chan-Hyun Youn, Min Chen, Patrizio Dazzi
    Pages 191-212

About this book


This book blends the principles of cloud computing theory and discussion of emerging technologies in cloud broker systems, enabling users to realise the potential of an integrated broker system for scientific applications and the Internet of Things (IoT).

Due to dynamic situations in user demand and cloud resource status, scalability has become crucial in the execution of complex scientific applications. Therefore, data analysts and computer scientists must grasp workflow management issues in order to better understand the characteristics of cloud resources, allocate these resources more efficiently and make critical decisions intelligently. Thus, this book addresses these issues through discussion of some novel approaches and engineering issues in cloud broker systems and cloudlets for workflow scheduling. This book closes the gaps between cloud programmers and scientific applications designers, describing the fundamentals of cloud broker system technology and the state-of-the-art applications in implementation and performance evaluation.

The books gives details of scheduling structures and processes, providing guidance and inspiration for users including cloud programmers, application designers and decision makers with involvement in cloud resource management.


Cloud service broker Cloud computing efficiency Heterogeneous cloud resource management Bio-workflow broker Layered cloud workflow system SLA-driven VM allocation policy Emotion-Aware Mobile Cloud Computing MCC-Based Emotional Data Amvsc framework

Authors and affiliations

  • Chan-Hyun Youn
    • 1
  • Min Chen
    • 2
  • Patrizio Dazzi
    • 3
  1. 1.School of Electrical EngineeringKAIST DaejeonKorea (Republic of)
  2. 2.EPIC LabHuazhong University of Science and Techn WuhanChina
  3. 3.Area della Ricerca di PisaISTI-CNR Area della Ricerca di PisaPisaItaly

Bibliographic information

Industry Sectors
IT & Software