A Rapid Deployment Big Data Computing Platform for Cloud Robotics

Duggan, Leigh; Dowzard, James; Katupitiya, Jayantha; Chan, Kenny L.

doi:10.5121/ijcnc.2017.9606

Cited by 4 publications

(2 citation statements)

References 5 publications

(6 reference statements)

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“…Big data has been used in cloud robotics. A general cloud robotics architecture which leverages the established and growing big data technologies has been discussed in [55]. The framework was expected to allow future research to create and build upon a standardized platform in which research can be easily repeated, validated, and compared.…”

Section: Big Data Driven Roboticsmentioning

confidence: 99%

From Networked Robotics to Cloud and Big Data Supercharged Robotics: A Survey and Analysis

Chowdhury

Yan

2021

Preprint

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In recent years, with the prosperity of big data and cloud computing, robotics is evolving from conventional networked robotics to internet-scale connected, big data driven, and cloud resources supercharged multi-robot systems. In this survey paper, we present a survey of an advancing, pioneering, and multi-disciplinary ﬁeld of research at the intersection of wireless sensor networks (WSN), robotics and big data. We discuss the concepts of networked robots. Networked robots refer to multiple robots working together in coordination with diﬀerent types of embedded computers, sensors, and human users. Networked robotics allows multiple robots and supporting entities to execute tasks that are well beyond the capabilities of a single robot. The recent initiation of cloud technologies is opening new prospects for the provisioning of advanced robotic services based on the cooperation of some connected robots, smart environments and devices powered by the huge computational and storage capability of the cloud servers. We have recently witnessed the emergence of cloud computing on one hand and robotics platforms on the other hand. These two areas have been merging and resulting in the cloud robotics model to oﬀer more distant services. Since networked robots require high computational and processing power, big data is becoming a dominant factor in networked and cloud robotics. This survey paper elaborates the primary concepts of networked and cloud robotics, their applications, challenges as well as the importance of big data in robotics, particularly, networked and cloud robotics and the noteworthy works in these areas.

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Section: Big Data Driven Roboticsmentioning

confidence: 99%

From Networked Robotics to Cloud and Big Data Supercharged Robotics: A Survey and Analysis

Chowdhury

Yan

2021

Preprint

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“…3) Data Export: Export data to temporary storage or messaging system. Kafka is a really powerful message broker for high-throughput real-time event data and can be really effective in integrating data silos [12] [20]. Other alternatives should be evaluated based on needs.…”

Section: Big Data Integrationmentioning

confidence: 99%

Bridging Data Silos Using Big Data Integration

Patel¹

2019

IJDMS

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With cloud computing, cheap storage and technology advancements, an enterprise uses multiple applications to operate business functions. Applications are not limited to just transactions, customer service, sales, finance but they also include security, application logs, marketing, engineering, operations, HR and many more. Each business vertical uses multiple applications which generate a huge amount of data. On top of that, social media, IoT sensors, SaaS solutions, and mobile applications record exponential growth in data volume. In almost all enterprises, data silos exist through these applications. These applications can produce structured, semi-structured, or unstructured data at different velocity and in different volume. Having all data sources integrated and generating timely insights helps in overall decision making. With recent development in Big Data Integration, data silos can be managed better and it can generate tremendous value for enterprises. Big data integration offers flexibility, speed and scalability for integrating large data sources. It also offers tools to generate analytical insights which can help stakeholders to make effective decisions. This paper presents the overview on data silos, challenges with data silos and how big data integration can help to stun them.

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