WaaS—Wisdom as a Service

Chen, Jianhui; Ma, Jun; Zhong, Ning; Yao, Yiyu; Liu, Jiming; Huang, Runhe; Li, Wenbin; Huang, Zhisheng; Gao, Yang

doi:10.1007/978-3-319-44198-6_2

Cited by 8 publications

(11 citation statements)

References 19 publications

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“…Recent advances in cyber-physical domains and platforms, big data and data analytics have enabled the development of an open architecture with intelligent sharing and services [51] along with the Web of Things (WoTs) that facilitates services offered at Open Systems Interconnection model (OSI)'s application layer [52]. One of the recent prominent trends is to integrate all smart domains in a combined architecture of the cloud platform [6] to create bigger synergies even though it involves many challenges, some of which are discussed in Section IX.…”

Section: B Big Data and Wisdommentioning

confidence: 99%

“…With an increased digital consumption the world is creating massive amounts of data on a daily basis. IDC (a technology research firm) estimates that data have been constantly growing twice as much for every other year [51]. According to Domo's Data Never Sleeps 6.0 report, by 2020 there are 2.5 quintillion bytes (1 million terabytes) of data created each day and it is estimated that 1.7MB of data will be created each second by every single person on earth [53].…”

Section: B Big Data and Wisdommentioning

confidence: 99%

“…With the help of the competent and scalable data analytics, the business processes can be accelerated and the overall decision making process may be substantially improved. The business intelligence landscape is currently dominated by the big data and all the business models are rapidly adopting the big data analytics solutions, and consequently, exponentially increasing the big data created in the cloud and edge platforms as a Data-as-a-Service (DaaS) can be transformed into Information-as-a-Service (InaaS); InaaS can be transformed into Knowledge-as-a-Service (KaaS) using Big Data analytics, and finally KaaS can be transformed into Wisdom-as-a-Service (WaaS), where Wisdom is an insight to know what's true or right for making correct judgements and decisions, and taking actions, accordingly [51]. 3 These transformations can be readily observed from Fig.…”

Section: B Big Data and Wisdommentioning

confidence: 99%

“…8. The WaaS standards and service platforms are expected to be fine-tuned continuously as a core infrastructure for intelligence industry and smart city to support the development of various intelligent IT applications and it is anticipated that this will bring a huge economic value for intelligence IT industry by realizing the pay-as-you-go manner [57].…”

Section: B Big Data and Wisdommentioning

confidence: 99%

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Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE)

Kuru

Yetgin

2019

IEEE Access

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The recent advances in cyber-physical domains, cloud, cloudlet, and edge platforms along with the evolving Artificial Intelligence (AI) techniques, big data analytics, and cutting-edge wireless communication technologies within the Industry 4.0 (4IR) are urging mechatronics designers, practitioners, and educators to further review the ways in which mechatronics systems are perceived, designed, manufactured, and advanced. Within this scope, we introduce the service-oriented cyber-physical advanced mechatronics systems (AMSs) along with current and future challenges. The objective in AMSs is to create remarkably intelligent autonomous products by 1) forging effective sensing, self-learning, Wisdom as a Service (WaaS), Information as a Service (InaaS), precise decision making, and actuation using effective locationindependent monitoring, control and management techniques with products and 2) maintaining a competitive edge through better product performances via immediate and continuous learning, while the products are being used by customers and are being produced in factories within the cycle of Automation of Everything (AoE). With the advanced wireless communication techniques and improved battery technologies, the AMSs are capable of getting independent and working with other massive AMSs to construct robust, customizable, energy-efficient, autonomous, intelligent, and immersive platforms. In this regard, rather than providing technological details, this paper implements philosophical insights into 1) how mechatronics systems are being transformed into AMSs; 2) how robust AMSs can be developed by both exploiting the wisdom created within cyber-physical smart domains in the edge and cloud platforms and incorporating all the stakeholders with diverse objectives into all phases of the product life-cycle; and 3) what essential common features AMSs should acquire to increase the efficacy of products and prolong their product life. Against this background, an AMS development framework is proposed in order to contextualize all the necessary phases of AMS development and direct all stakeholders to rivet high-quality products and services within AoE. INDEX TERMS Advanced mechatronics systems, Wisdom as a Service (WaaS), Information as a Service (InaaS), Industry 4.0 (4IR), cyber-physical domains, cloud and edge/fog platforms, Automation of Everything (AoE).

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Section: B Big Data and Wisdommentioning

confidence: 99%

Section: B Big Data and Wisdommentioning

confidence: 99%

Section: B Big Data and Wisdommentioning

confidence: 99%

Section: B Big Data and Wisdommentioning

confidence: 99%

See 2 more Smart Citations

Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE)

Kuru

Yetgin

2019

IEEE Access

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“…, Chen et al [22] proposed a wisdom as a Service (WaaS) architecture of IT applications based on the DIKW hierarchy which includes Data as a service (DaaS), Information as a Service (InaaS), Knowledge as a Service (KaaS) and Widsom as a Service (WaaS). "Sensing as a Service (E)" (2014), Perera et al [71] gave the concept of sensing as a service and how it fits with the Internet of Things.…”

Section: Data As a Service (Daas) (E) Information As A Service (Inaamentioning

confidence: 99%

Sorting Terms of “aaS” of Everything as a Service

Duan¹,

Sun²,

Longo³

et al. 2016

IJNDC

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Numerous service models have been proposed in the form of "as a Service" or "aaS" in the past. This is especially eminent in the era of the Cloud under the term of anything as a service or everything as a service(XaaS). A unified view of XaaS can aid efficient classification of services for service registration, discovery, and composition. In view of that there lacks such a unified view which is demanded by systematic application of XaaS in the Web Service Ecosystem, towards proposing a taxonomy of "aaS", we present in this work a collection of "aaS" based on a throughout literature survey. We also proposed a strategy to identify the terms from the servicelization perspective.

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A Plug&Play approach for modeling and simulating applications in the era of internet of social things

et al. 2021

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This article presents an approach to model and simulate Plug&Play social things. Confined into silos, existing (not social) things are restricted to basic operations like sensing and actuating, which deprive them from participating in the satisfaction of complex business applications. Contrarily, social things are expected to engage in collaborative scenarios and to tap into specific relations that connect them to peers when achieving these scenarios. These relations are referred to as complimentary, antagonism, and competition, and allow to develop networks of things. To capitalize on such networks, the approach to model and simulate Plug&Play social things puts forward four stages that are referred to as connecting to demystify social relations between things, influencing to examine the impact of social relations on things, playing to make things perform while considering influence, and incentivizing to reward things based on their performance. A smart system for elderly the care centers has been developed to showcase the technical doability of Plug&Play social things. The system is an integrated development environment allowing IoT engineers to define the collaboration of social things, thanks to a set of drag&drop operations.

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WaaS—Wisdom as a Service

Cited by 8 publications

References 19 publications

Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE)

Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE)

Sorting Terms of “aaS” of Everything as a Service

A Plug&Play approach for modeling and simulating applications in the era of internet of social things

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