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Cloud Broker and Cloudlet for Workflow Scheduling

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...

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Main Authors: Youn, Chan-Hyun. (Author, http://id.loc.gov/vocabulary/relators/aut), Chen, Min. (http://id.loc.gov/vocabulary/relators/aut), Dazzi, Patrizio. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:KAIST Research Series,
Subjects:
Computer organization.
Computational intelligence.
Software engineering.
Application software.
Information technology.
Business—Data processing.
Computer Systems Organization and Communication Networks.
Computational Intelligence.
Software Engineering/Programming and Operating Systems.
Information Systems Applications (incl. Internet).
IT in Business.
Online Access:https://doi.org/10.1007/978-981-10-5071-8
Table of Contents:
  • 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. .

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