Cloud Broker and Cloudlet for Workflow Scheduling

Description

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. Read more... Abstract: 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 Front Matter ....Pages i-ix Integrated Cloud Broker System and Its Experimental Evaluation (Chan-Hyun Youn, Min Chen, Patrizio Dazzi)....Pages 1-45 VM Placement via Resource Brokers in a Cloud Datacenter (Chan-Hyun Youn, Min Chen, Patrizio Dazzi)....Pages 47-73 Cost Adaptive Workflow Resource Broker in Cloud (Chan-Hyun Youn, Min Chen, Patrizio Dazzi)....Pages 75-103 A Cloud Broker System for Connected Car Services with an Integrated Simulation Framework (Chan-Hyun Youn, Min Chen, Patrizio Dazzi)....Pages 105-134 Mobile Device as Cloud Broker for Computation Offloading at Cloudlets (Chan-Hyun Youn, Min Chen, Patrizio Dazzi)....Pages 135-146 Opportunistic Task Scheduling Over Co-located Clouds (Chan-Hyun Youn, Min Chen, Patrizio Dazzi)....Pages 147-171 Mobility-Aware Resource Scheduling Cloudlets in Mobile Environment (Chan-Hyun Youn, Min Chen, Patrizio Dazzi)....Pages 173-189 Machine-Learning Based Approaches for Cloud Brokering (Chan-Hyun Youn, Min Chen, Patrizio Dazzi)....Pages 191-212