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Cloud Broker And Cloudlet For Workflow Scheduling Chen Min Dazzi

  • SKU: BELL-6754378
Cloud Broker And Cloudlet For Workflow Scheduling Chen Min Dazzi
$ 31.00 $ 45.00 (-31%)

5.0

100 reviews

Cloud Broker And Cloudlet For Workflow Scheduling Chen Min Dazzi instant download after payment.

Publisher: Springer Singapore
File Extension: PDF
File size: 9.45 MB
Pages: 212
Author: Chen, Min; Dazzi, Patrizio; Youn, Chan-Hyun
ISBN: 9789811050701, 9789811050718, 9811050708, 9811050716
Language: English
Year: 2017

Product desciption

Cloud Broker And Cloudlet For Workflow Scheduling Chen Min Dazzi by Chen, Min; Dazzi, Patrizio; Youn, Chan-hyun 9789811050701, 9789811050718, 9811050708, 9811050716 instant download after payment.

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.
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

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