Usage-Specific Semantic Integration for Cyber-Physical Robot Systems

Fang, Li; Zhang, Ping; Li, Di; Da-qiang, Zhang; Zhou, Keliang

doi:10.1145/2873057

Cited by 18 publications

(11 citation statements)

References 21 publications

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“…They said that the system has resulted concluding in a highly manageable complete system. In another study (Li et al, 2016), it has aimed to form a specific language called Cyber-Physical Robot Language (CPLR), that assists the cyber physical robot systems development and application in an efficient way. D'auria and Persia have highlighted the relevance of the application of CPS systems in the scope of robotic surgery (D'Auria & Persia, 2017).…”

Section: Related Workmentioning

confidence: 99%

Adaptive Operation Model for Interior Smart Logistics in Cyber Physical Systems

Dönmez

Okumuş

Kocamaz

2021

Konya Journal of Engineering Sciences

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Logistics operations are among the main activities in industrial production areas. Today, vehicles that are usually electric and manually operated by a driver are used to perform these operations. Logistics robots are an important alternative that can be used in this field, and their use in integration with cyber physical systems in industrial fields is increasingly common. The biggest advantage of the logistics robots is that they provide autonomous driving capabilities and optimum parameters for the entire system in accordance with industry 4.0 concept. In this study, an adaptive logistics robot system that can be integrated into the Cyber Physical System (CPS) system in an environment with cyber physical system infrastructure has been developed. In this context, positioning, path planning, multi-task allocation, energy management, task prioritization, optimization and obstacle avoidance issues are analyzed and simple solutions are proposed. The experiments have been carried out in eight different configurations and the average distance and energy costs have been improved by 5.1% and 6.6%, respectively.

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Section: Related Workmentioning

confidence: 99%

Adaptive Operation Model for Interior Smart Logistics in Cyber Physical Systems

Dönmez

Okumuş

Kocamaz

2021

Konya Journal of Engineering Sciences

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“…Li et al [42] proposed a task scheduling model to reduce computational resource overhead for IoT-cloud. To implement a robotbased cyber-physical system, a set of customized semantics is proposed and integrated into the system design in [43]. However, even in specific application areas, the current work is still very poor in modeling and instantiation of heterogeneous resources and their interactions.…”

Section: Resource Modeling In Cphsmentioning

confidence: 99%

Hybrid Resource Modeling and Scheduling Platform Based on Multisource Cooperation for Cyber-Physical-Human System

Zhu

Wang²,

2021

Mobile Information Systems

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Cyber-Physical-Human System (CPHS) is receiving increasing attention as an interrelated system that integrates computing, physical, and human resources. Different from existing computing paradigms, CPHS generally comprises heterogeneous software and hardware resources from multiple resource providers and allows interaction among them. The existing research on resource scheduling either focuses on traditional computing resources without consideration of physical environmental factors or is limited to specific application fields, making it difficult to promote and apply across domains. In this paper, we design and implement an application-independent CPHS resource scheduling platform based on a self-defined hybrid resource model. The platform provides a complete instantiation environment for all kinds of CPHS resources and their interactions and supports flexible customization of various resource scheduling strategies. We have injected several different resource scheduling policies into this platform, and the execution results are in line with expectations. The platform is extended to be implemented based on mainstream technologies that have been widely practiced, and the code is open source.

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“…The path containing the lowest asking price is selected for forwarding the packet. 5) Pricing models in cloud robotics: Cloud robotics is a combination of robotic technology with network and cloud computing infrastructure [301], [302]. Robots benefit from powerful computing, storage, and communication resources of data centers in the cloud.…”

Section: Major Approachesmentioning

confidence: 99%

Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey

Luong

Wang

Niyato

et al. 2017

IEEE Commun. Surv. Tutorials

203

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This paper presents a comprehensive literature review on applications of economic and pricing models for resource management in cloud networking. To achieve sustainable profit advantage, cost reduction, and flexibility in provisioning of cloud resources, resource management in cloud networking requires adaptive and robust designs to address many issues, e.g., resource allocation, bandwidth reservation, request allocation, and workload allocation. Economic and pricing models have received a lot of attention as they can lead to desirable performance in terms of social welfare, fairness, truthfulness, profit, user satisfaction, and resource utilization. This paper reviews applications of the economic and pricing models to develop adaptive algorithms and protocols for resource management in cloud networking. Besides, we survey a variety of incentive mechanisms using the pricing strategies in sharing resources in edge computing. In addition, we consider using pricing models in cloud-based Software Defined Wireless Networking (cloud-based SDWN). Finally, we highlight important challenges, open issues and future research directions of applying economic and pricing models to cloud networking.

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Usage-Specific Semantic Integration for Cyber-Physical Robot Systems

Cited by 18 publications

References 21 publications

Adaptive Operation Model for Interior Smart Logistics in Cyber Physical Systems

Adaptive Operation Model for Interior Smart Logistics in Cyber Physical Systems

Hybrid Resource Modeling and Scheduling Platform Based on Multisource Cooperation for Cyber-Physical-Human System

Resource Management in Cloud Networking Using Economic Analysis and Pricing Models: A Survey

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