Emerging Ontology Formulation of Optimized Internet of Things (IOT) Services with Cloud Computing

Tiwari, Ashish; Sharma, Reema; Garg, Ritu

doi:10.1007/978-981-15-0751-9_4

Cited by 29 publications

(29 citation statements)

References 73 publications

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“…They can quickly fill vacant capacities that humans might have missed because of this characteristic. ML algorithms, on the other hand, recognize and determine when a system is at risk of becoming overloaded [17]. Optimizing queries using machine learning goes beyond determining the most cost-effective option.…”

Section: Sales Parametersmentioning

confidence: 99%

“…becoming overloaded [17]. Optimizing queries using machine learning goes beyond determining the most cost-effective option.…”

Section: Sales Parametersmentioning

confidence: 99%

“…As they implement artificial intelligence technologies into their operations, businesses are beginning to see measurable advantages. Depending on the maturity level of a company's AI technology, business process efficiency is the most important benefit, according to enterprise users [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…As they implement artificial intelligence technologies into their tions, businesses are beginning to see measurable advantages. Depending on the m level of a company's AI technology, business process efficiency is the most importa efit, according to enterprise users [15][16][17]. Increased productivity and efficiency are the most frequently mentioned advantages of incorporating AI into an organization.…”

Section: Introductionmentioning

confidence: 99%

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Sales-Based Models for Resource Management and Scheduling in Artificial Intelligence Systems

Dudeja,

Sabharwal,

Ganganwar

et al. 2023

RAiSE-2023

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Section: Sales Parametersmentioning

confidence: 99%

“…becoming overloaded [17]. Optimizing queries using machine learning goes beyond determining the most cost-effective option.…”

Section: Sales Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sales-Based Models for Resource Management and Scheduling in Artificial Intelligence Systems

Dudeja,

Sabharwal,

Ganganwar

et al. 2023

RAiSE-2023

View full text Add to dashboard Cite

show abstract

“…How is it that we could direct engineers and cosmology architects to assess ontologies? (Tiwari et al, 2020). The external issues of cloud computing are its protocols, standardized system of maintaining the services.…”

Section: Research Challengesmentioning

confidence: 99%

Adaptive Ontology-Based IoT Resource Provisioning in Computing Systems

Tiwari

Garg

2022

International Journal on Semantic Web and Information Systems

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The eagle expresses of cloud computing plays a pivotal role in the development of technology. The aim is to solve in such a way that it will provide an optimized solution. The key role of allocating these efficient resources and making the algorithms for its time and cost optimization. The approach of the research is based on the rough set theory RST. RST is a great method for making a large difference in qualitative analysis situations. It's a technique to find knowledge discovery and handle the problems such as inductive reasoning, automatic classification, pattern recognition, learning algorithms, and data reduction. The rough set theory is the new method in cloud service selection so that the best services provide for cloud users and efficient service improvement for cloud providers. The simulation of the work is finished at intervals with the merchandise utilized for the formation of the philosophy framework. The simulation shows the IoT services provided by the IoT service supplier to the user are the best utilization with the parameters and ontology technique.

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