scholarly journals Survey on Cloud Robotics and Robot Operating System

2021 ◽  
pp. 179-184
Author(s):  
Karan Sanghvi ◽  
Pratik Shah
Keyword(s):  
Operating System ◽  
Cloud Computing ◽  
Software Architecture ◽  
Real Time ◽  
Smart City ◽  
Web Technology ◽  
Robot Operating System ◽  
Research Fields ◽  
Cloud Robotics ◽  
Cloud Technologies

The paper proposes cloud robotics which intends five parts which are for software architecture, trends and challenges, design based on a web technology, cloud computing platforms and cloud robotics in practical smart city applications. Software architecture involves lots of different cloud technologies like cloud storage and shared services for robotics for Robot Operating System. There are lots of trends in cloud robotics as it uses cloud technologies for robotics. The use of the cloud for automation brings some largely ameliorating the performance of robotics. Besides, the trends, there are some challenges in cloud robotics. Robot Operating System has been a standard tool in the design for cloud robotics. It always runs at the on-board computer but some resources of CPU do not allow the ability of robotics. In this problem, a good solution is to transfer the task to the cloud. Hence, the design of a cloud robotics middleware is based on web technology. Robotics with cloud computing gives lots of research scopes and research fields. In Smart City Applications, Real-Time Cloud Robotics is present. Real Time Cloud Robotics has emerged as an efficient computing means in data processing applications. By this we introduce CR20 cloud robotics platform that uses real time stream technology virtually to connect to different devices.

Cloud Computing Technologies for Open Connected Government

2016 ◽  
pp. 1-14 ◽  
Author(s):  
Zaigham Mahmood
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Web 2.0 ◽  
Real Time ◽  
Distributed Applications ◽  
Mobile Technologies ◽  
Computing Technologies ◽  
Cloud Technologies ◽  
Cloud Resources

Cloud Computing is an attractive paradigm for organisations that have a requirement to process large scalable distributed applications. It allows for self-provisioning of cloud resources to develop and host applications as well as acquire storage and networking resources. Connected Government (c-government) is an area where cloud technologies can be effectively used to achieve the benefits that the cloud paradigm promises. Social Media, Web 2.0 and mobile technologies can all help to further enhance the connected government capabilities. Using such technologies, governments and citizens can engage in real time in the electronic participation of a government's functioning. In this chapter, we introduce the cloud paradigm and then discussing the requirements of c-government, we outline how cloud technologies can help to achieve an open and transparent c-government. The aim is to provide the basics of relationship between c-government and cloud computing to set the scene for other contributions in this volume.

scholarly journals Fog Computing Framework for Smart City Design

2020 ◽  
Vol 14 (01) ◽  
pp. 109
Author(s):  
Mais Haj Qasem ◽  
Alaa Abu-Srhan ◽  
Hutaf Natoureah ◽  
Esra Alzaghoul
Keyword(s):  
Cloud Computing ◽  
Data Processing ◽  
Real Time ◽  
Smart City ◽  
Network Architecture ◽  
Data Exchange ◽  
Fog Computing ◽  
Computing Paradigm ◽  
Network Usage ◽  
The Cost

Fog-computing is a new network architecture and computing paradigm that uses user or near-users devices (network edge) to carry out some processing tasks. Accordingly, it extends the cloud computing with more flexibility the one found in the ubiquitous networks. A smart city based on the concept of fog-computing with flexible hierarchy is proposed in this paper. The aim of the proposed design is to overcome the limitations of the previous approaches, which depends on using various network architectures, such as cloud-computing, autonomic network architecture and ubiquitous network architecture. Accordingly, the proposed approach achieves a reduction of the latency of data processing and transmission with enabled real-time applications, distribute the processing tasks over edge devices in order to reduce the cost of data processing and allow collaborative data exchange among the applications of the smart city. The design is made up of five major layers, which can be increased or merged according to the amount of data processing and transmission in each application. The involved layers are connection layer, real-time processing layer, neighborhood linking layer, main-processing layer, data server layer. A case study of a novel smart public car parking, traveling and direction advisor is implemented using IFogSim and the results showed that reduce the delay of real-time application significantly, reduce the cost and network usage compared to the cloud-computing paradigm. Moreover, the proposed approach, although, it increases the scalability and reliability of the users’ access, it does not sacrifice much time, nor cost and network usage compared to fixed fog-computing design.

scholarly journals Design and implementation of real-time robot operating system based on freertos

2020 ◽  
Vol 1449 ◽  
pp. 012115
Author(s):  
Li Shao ◽  
Chuanxi Wang ◽  
Chong Chu ◽  
Yinan Song ◽  
Haoyu Hu ◽  
...  
Keyword(s):  
Operating System ◽  
Real Time ◽  
Robot Operating System ◽  
Design And Implementation

A ROS-Simulink Real-Time Communication Bridge Using UDP With a Driver-in-the-Loop Application

2016 ◽  
Author(s):  
Mohamed Wahba ◽  
Robert Leary ◽  
Nicolás Ochoa-Lleras ◽  
Jariullah Safi ◽  
Sean Brennan
Keyword(s):  
Operating System ◽  
Real Time ◽  
High Speed ◽  
Performance Metrics ◽  
Proof Of Concept ◽  
Physical Separation ◽  
Robot Operating System ◽  
Time Latency ◽  
And Performance ◽  
Fast Transmission

This paper presents implementation details and performance metrics for software developed to connect the Robot Operating System (ROS) with Simulink Real-Time (SLRT). The communication takes place through the User Datagram Protocol (UDP) which allows for fast transmission of large amounts of data between the two systems. We use SLRT’s built-in UDP communication and binary packing blocks to send and receive the data over a network. We use implementation metrics from several examples to illustrate the effectiveness and drawbacks of this bridge in a real-time environment. The time latency of the bridge is analyzed by performing loop-back tests and obtaining the statistics of the time delay. A proof of concept experiment is presented that utilizes two laboratories that ran a driver-in-the-loop system despite a large physical separation. This work provides recommendations for implementing data integrity measures as well as the potential to use the system with other applications that demand high speed real-time communication.

scholarly journals Perlustration on Recent Research into Multi Clouds integrated with Multi Party Computation

2019 ◽  
Vol 8 (6) ◽  
pp. 587-592
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Short Note ◽  
Research Work ◽  
Cloud Security ◽  
Ease Of Use ◽  
Technological Advancement ◽  
Future Work ◽  
Cloud Technologies ◽  
Multi Cloud

Recent advances in multi cloud technologies and multi-party computations have improved State of art usage of Cloud computing in real time scenarios. Primary reason behind using any service offered by others is ease of use with lesser economics. Cloud Computing is technological advancement which is in usage for last two decades because of its Pay-per-Usage policy offering enormous benefits across the user community. In spite of its enormous benefits, single factor which is stepping it back from its wider adoption throughout the digital society is its Security. Tremendous research work was done across industry and academia in association with cloud security. This paper focuses on brief history, real time deployment of cloud, usage, benefits, risks associated and Surveys various studies done by national and international organizations related to cloud security concerns and dwell upon the advantages of integrating multi clouds and multi-party computation techniques and emphasizes on recent research done across multi cloud environment and give a short note of future work to enhance security paradigm.

scholarly journals Architectural Framework for Cloud Reliability Model using Fault Tolerance Techniques

2019 ◽  
Vol 8 (11) ◽  
pp. 515-519
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Real Time ◽  
Data Storage ◽  
Threshold Value ◽  
Fine Grained ◽  
Storage Servers ◽  
Architectural Framework ◽  
Cloud Technologies ◽  
Reliability And Availability

Cloud Computing is an essential podium for workable and impracticable users. It achieves high quality reliable services provided to the users via data storage servers. The key challenge in cloud architecture is to run the facilities without any hazel to the users. In today’s world of information technology, most of the applications are real time. The major constraint of the systems used in real time applications is that, they are prone to failure. The failure may be due to the following reasons: a) Failure to complete the task in prescribed time threshold value. b) Failure to achieve prescribed reliability value. Virtualization and Internet-based Cloud computing causes diverse types of failures to occur and so necessity for reliability and availability have turn out to be of vital concern. To ensure reliability and availability of cloud technologies, methods for fault tolerance need to be developed and deployed. The proposed work will focus on adaptive behavior during the assortment of replication and fine-grained check pointing methods for achieving a reliable cloud platform that can grip diverse client requests. In addition to this, the proposed work will also conclude the best suitable fault tolerance scheme to each chosen virtual machine.

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