Matches in SemOpenAlex for { <https://semopenalex.org/work/W3007841261> ?p ?o ?g. }
- W3007841261 endingPage "52" @default.
- W3007841261 startingPage "31" @default.
- W3007841261 abstract "The eagle expresses of cloud computing plays a pivotal role in the development of technology. The technology momentum is gaining cloud system environment across the emerging computational intelligence as artificial intelligence in IOTs. It works on the concept of everywhere, everything, and every time service on demand for end users. Developers with innovative ideas for greenhorn Web services do not want the massive capital outlays in hardware to deploy their service or the human expense to regulate it. Cloud computing playing a pivotal role in providing the optimized algorithms for the issues in cloud computing which are the global challenges. The problem aims to solve in such a way that it will provide an optimized solution. Among all these research areas, the works are developing at a rapid speed. The rapid vision, models, and challenges for efficient optimization of resource are in cloud computing world. The key role is of allocating these efficient resources and making the algorithms for its time and cost optimization keeping in consideration of its quality of services and characteristics. These both affecting the performance of these techniques is a major drawback due to low accuracy and large computational complexity of the algorithms. Therefore, the concept of fuzzy system is playing a pivotal role in designing such strategies in which it makes use of the concept fuzzy sets, fuzzy logic and reasoning, fuzzy controllers, rough sets, etc. As per the scenario, the approach of the research is based on technology acceptance model (TAM) and the rough set theory (RST). RST is a great method for making a large difference in qualitative analysis situations. It is a technique to find the 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 are provided for cloud users and efficient service improvement for cloud providers. There square measure numerous routes by that its measured, the variety of them square measure as per the following: Feature alternative, security services, algorithmic, mathematical, etc. The simulation of the work is finished at intervals the merchandise utilized for the formation of philosophy framework. The simulation that deals with the IoT services provided by the IoT service supplier to the user is the best utilization with the parameters and ontology technique." @default.
- W3007841261 created "2020-03-06" @default.
- W3007841261 creator A5025844927 @default.
- W3007841261 creator A5042013209 @default.
- W3007841261 creator A5086282438 @default.
- W3007841261 date "2020-01-01" @default.
- W3007841261 modified "2023-10-02" @default.
- W3007841261 title "Emerging Ontology Formulation of Optimized Internet of Things (IOT) Services with Cloud Computing" @default.
- W3007841261 cites W1484754041 @default.
- W3007841261 cites W1501620655 @default.
- W3007841261 cites W1550018288 @default.
- W3007841261 cites W1558475262 @default.
- W3007841261 cites W1650440708 @default.
- W3007841261 cites W1964464249 @default.
- W3007841261 cites W1975890805 @default.
- W3007841261 cites W1976511807 @default.
- W3007841261 cites W1977367431 @default.
- W3007841261 cites W1988543050 @default.
- W3007841261 cites W1990457001 @default.
- W3007841261 cites W1999400784 @default.
- W3007841261 cites W2011020280 @default.
- W3007841261 cites W2012753837 @default.
- W3007841261 cites W2013119597 @default.
- W3007841261 cites W2016409747 @default.
- W3007841261 cites W2017220801 @default.
- W3007841261 cites W2019283456 @default.
- W3007841261 cites W2025622951 @default.
- W3007841261 cites W2028517040 @default.
- W3007841261 cites W2034179562 @default.
- W3007841261 cites W2034998024 @default.
- W3007841261 cites W2044648808 @default.
- W3007841261 cites W2045287414 @default.
- W3007841261 cites W2056412352 @default.
- W3007841261 cites W2057120019 @default.
- W3007841261 cites W2058561032 @default.
- W3007841261 cites W2067063404 @default.
- W3007841261 cites W2075201054 @default.
- W3007841261 cites W2076003312 @default.
- W3007841261 cites W2083612114 @default.
- W3007841261 cites W2086876270 @default.
- W3007841261 cites W2089990924 @default.
- W3007841261 cites W2099582797 @default.
- W3007841261 cites W2120229231 @default.
- W3007841261 cites W2120540932 @default.
- W3007841261 cites W2120964770 @default.
- W3007841261 cites W2126554879 @default.
- W3007841261 cites W2128771953 @default.
- W3007841261 cites W2130745982 @default.
- W3007841261 cites W2136674746 @default.
- W3007841261 cites W2137396323 @default.
- W3007841261 cites W2148459868 @default.
- W3007841261 cites W2151101158 @default.
- W3007841261 cites W2164304411 @default.
- W3007841261 cites W2197484984 @default.
- W3007841261 cites W2208056519 @default.
- W3007841261 cites W2212366715 @default.
- W3007841261 cites W2212612642 @default.
- W3007841261 cites W2275530856 @default.
- W3007841261 cites W2315535188 @default.
- W3007841261 cites W2323649031 @default.
- W3007841261 cites W2334709842 @default.
- W3007841261 cites W2530763462 @default.
- W3007841261 cites W2548668333 @default.
- W3007841261 cites W2555504779 @default.
- W3007841261 cites W2560211618 @default.
- W3007841261 cites W2569973925 @default.
- W3007841261 cites W2620368908 @default.
- W3007841261 cites W2621115566 @default.
- W3007841261 cites W2741966341 @default.
- W3007841261 cites W2743034119 @default.
- W3007841261 cites W2746463367 @default.
- W3007841261 cites W2748071934 @default.
- W3007841261 cites W2787077761 @default.
- W3007841261 cites W2794100685 @default.
- W3007841261 cites W2794245731 @default.
- W3007841261 cites W281893322 @default.
- W3007841261 cites W3204141825 @default.
- W3007841261 cites W4206121170 @default.
- W3007841261 cites W4245256586 @default.
- W3007841261 cites W4255833381 @default.
- W3007841261 doi "https://doi.org/10.1007/978-981-15-0751-9_4" @default.
- W3007841261 hasPublicationYear "2020" @default.
- W3007841261 type Work @default.
- W3007841261 sameAs 3007841261 @default.
- W3007841261 citedByCount "16" @default.
- W3007841261 countsByYear W30078412612021 @default.
- W3007841261 countsByYear W30078412612022 @default.
- W3007841261 countsByYear W30078412612023 @default.
- W3007841261 crossrefType "book-chapter" @default.
- W3007841261 hasAuthorship W3007841261A5025844927 @default.
- W3007841261 hasAuthorship W3007841261A5042013209 @default.
- W3007841261 hasAuthorship W3007841261A5086282438 @default.
- W3007841261 hasConcept C111472728 @default.
- W3007841261 hasConcept C111919701 @default.
- W3007841261 hasConcept C120314980 @default.
- W3007841261 hasConcept C136764020 @default.
- W3007841261 hasConcept C138885662 @default.
- W3007841261 hasConcept C2522767166 @default.