Robot Cloud: Bridging the power of robotics and cloud computing

Du, Z.; He, Ligang; Chen, Yinong; Xiao, Yu; Gao, Peng; Wang, Tongzhou

doi:10.1016/j.future.2016.01.002

Cited by 74 publications

(30 citation statements)

References 17 publications

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“…Since cloud has considerable computing power compared to the devices at the network edge, shifting computation-intensive tasks to the cloud computing platform is an effective approach for data processing. There are many researches focusing on developing the cloud-based system to control, manage, or communicate with drones over the Internet, such as Dronemap Planner [192], Robot Cloud [193], Cloudroid [194], Context Aware Cloud Robotics System [195], and so on. Cloud computing will boost the big data analytics due to its advantages in terms of the computation power and the amount of the acquired data, which can bring profound changes to the global UAV industry.…”

Section: ) Flexible Distributed Computationmentioning

confidence: 99%

Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

Wang

Zhao

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

168

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Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due to their agility and versatility, which have attracted significant attention from both the academia and industry in recent years. As an integration of the embedded systems with communication devices, computation capabilities and control modules, the UAV network could build a closed loop from data perceiving, information exchanging, decision making to the final execution, which tightly integrates the cyber processes into the physical devices. Therefore, the UAV network could be considered as a cyber physical system (CPS). Revealing the coupling effects among the three interacted components in this CPS system, i.e., communication, computation and control, is envisioned as the key to properly utilize all the available resources and hence improve the performance of the UAV networks. In this paper, we present a comprehensive survey on the UAV networks from a CPS perspective. Firstly, we respectively research the basics and advances with respect to the three CPS components in the UAV networks. Then we look inside to investigate how these components contribute to the system performance by classifying the UAV networks into three hierarchies, i.e., the cell level, the system level, and the system of system level. Further, the coupling effects among these CPS components are explicitly illustrated, which could be enlightening to deal with the challenges in each individual aspect. New research directions and open issues are discussed at the end of this survey. With this intensive literature review, we try to provide a novel insight into the state-of-the-art in the UAV networks.

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Section: ) Flexible Distributed Computationmentioning

confidence: 99%

Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

Wang

Zhao

Zhang

et al. 2020

IEEE Commun. Surv. Tutorials

168

View full text Add to dashboard Cite

show abstract

“…Some of the available Cloud Computing service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) [6][7][8][9][10], and even X as a Service (XaaS) where X can be any services [2]. In addition, the implementation of cloud computing on some companies have big security issues.…”

Section: Cloud Computingmentioning

confidence: 99%

Hybrid cloud: bridging of private and public cloud computing

Aryotejo¹,

Kristiyanto²,

Mufadhol³

2018

J. Phys.: Conf. Ser.

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Abstract. Cloud Computing is quickly emerging as a promising paradigm in the recent years especially for the business sector. In addition, through cloud service providers, cloud computing is widely used by Information Technology (IT) based startup company to grow their business. However, the level of most businesses awareness on data security issues is low, since some Cloud Service Provider (CSP) could decrypt their data. Hybrid Cloud Deployment Model (HCDM) has characteristic as open source, which is one of secure cloud computing model, thus HCDM may solve data security issues. The objective of this study is to design, deploy and evaluate a HCDM as Infrastructure as a Service (IaaS). In the implementation process, Metal as a Service (MAAS) engine was used as a base to build an actual server and node. Followed by installing the vsftpd application, which serves as FTP server. In comparison with HCDM, public cloud was adopted through public cloud interface. As a result, the design and deployment of HCDM was conducted successfully, instead of having good security, HCDM able to transfer data faster than public cloud significantly. To the best of our knowledge, Hybrid Cloud Deployment model is one of secure cloud computing model due to its characteristic as open source. Furthermore, this study will serve as a base for future studies about Hybrid Cloud Deployment model which may relevant for solving big security issues of IT-based startup companies especially in Indonesia.

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“…One of the possibilities that cloud computing offers is the virtualization of computing resources and offering them as a service. For instance, offering robot evolution as a service (Chen et al, 2010;Du et al, 2017) so that anyone can work with them without the need to set up their own infrastructure. These new implementations have their own scaling and scheduling issues that can be a challenge, but they are mostly a straightforward shift of x-as-a-frameworkor-implementation to x-as-a-service.…”

Section: First Steps Toward Cloud As Complex Systemsmentioning

confidence: 99%

Alife in the Clouds: A Short Review of Applications of Artificial Life to Cloud Computing and Back

Merelo¹,

Castillo²,

García-Valdéz³

2018

Front. Robot. AI

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Cloud computing is currently the prevailing mode of designing, creating, and deploying complex applications, and it has implied a paradigm shift in all three areas; even if it taps and extends previous concepts such as service oriented, concurrent, and distributed computing, this shift has to be eventually translated to the algorithmic and conceptual aspects of sciences such as artificial life. In this short paper, we will review how the world of cloud computing has intersected the artificial life field, and how it has been used as an inspiration for new models or the design and implementation of new and powerful algorithms; in the other direction, we will also examine how artificial life concepts such as self-organization have been applied to the field of cloud computing.

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Robot Cloud: Bridging the power of robotics and cloud computing

Cited by 74 publications

References 17 publications

Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

Hybrid cloud: bridging of private and public cloud computing

Alife in the Clouds: A Short Review of Applications of Artificial Life to Cloud Computing and Back

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