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.
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1 Integrated Cloud Broker System and Its Experimental Evaluation.- 2 VM Placement via Resource Brokers in a Cloud Datacenter.- 3 Cost Adaptive Workflow Resource Broker in Cloud.- 4 A Cloud Broker System for Connected Car Services with an Integrated Simulation Framework.- 5 Mobile Device as Cloud Broker for Computation Offloading at Cloudlets.- 6 Opportunistic Task Scheduling over Co-Located Clouds.- 7 Mobility-Aware Resource Scheduling Cloudlets in Mobile Environment.- 8 Machine-learning based approaches for cloud brokering.
Les mer
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.
Les mer
Provides cloud programmers and scientific application designers with the theoretical background required to make informed decisions Describes fundamentals of cloud broker system technology and workflows in detail and gives example of state-of-the-art applications Explains cost, resource and scheduling structures and decision-making processes with examples Includes supplementary material: sn.pub/extras
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Produktdetaljer
ISBN
9789811050701
Publisert
2017-07-07
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet