Book ChapterDOI
A Pricing Mechanism for Task Oriented Resource Allocation in Cloud Robotics
Lujia Wang,Ming Liu,Max Q.-H. Meng +2 more
- Vol. 36, pp 3-31
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TLDR
This chapter introduces a novel resource allocation framework for cloud robotics and proposes a Stackelberg game model and the corresponding task oriented pricing mechanism for resource allocation.Abstract:
Cloud robotics is currently driving interests in both academia and industry, especially for systems with limited computation capability. Resource allocation is the fundamental and dominant problem for resource sharing among agents in the cloud robotics system. This chapter introduces a novel resource allocation framework for cloud robotics and proposes a Stackelberg game model and the corresponding task oriented pricing mechanism for resource allocation. Simulation investigates the parameter selection and time cost of the proposed mechanism. Experimental results of co-localization task demonstrate that the proposed mechanism achieve an optimal performance in resource allocation.read more
Citations
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Journal ArticleDOI
Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey
TL;DR: In this paper, the authors present a comprehensive literature review on applications of economic and pricing models for resource management in cloud networking, which can lead to desirable performance in terms of social welfare, fairness, truthfulness, profit, user satisfaction, and resource utilization.
Posted Content
Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey
TL;DR: This paper presents a comprehensive literature review on applications of economic and pricing models for resource management in cloud networking, and surveys a variety of incentive mechanisms using the pricing strategies in sharing resources in edge computing.
Journal ArticleDOI
A Comprehensive Survey of Recent Trends in Cloud Robotics Architectures and Applications
TL;DR: In this survey paper, the recent works in the area of cloud robotics technologies as well as its applications are reviewed and insights about the current trends in cloud robotics are drawn.
Journal ArticleDOI
Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory
TL;DR: An Edge Cloud based multi-robot system to overcome the limitations of remote Cloud based system in exchanging delay sensitive data and an augmented NSGA-II algorithm to address simultaneous optimization of makespan, energy consumption and cost while allocating resources for the tasks of a robotic workflow.
Journal ArticleDOI
A Hierarchical Auction-Based Mechanism for Real-Time Resource Allocation in Cloud Robotic Systems
TL;DR: A hierarchical auction-based mechanism, namely link quality matrix (LQM) auction, which is suitable for ad hoc networks by introducing a link quality indicator, is proposed, which produces a fast and robust method that is accurate and scalable.
References
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