RETRACTED: Role of BIC (Big Data, IoT, and Cloud) for Smart Cities (Retracted Article)

被引:4
|
作者
Chai, Ning [1 ]
Mao, Chun [2 ]
Ren, Minjie [1 ]
Zhang, Wenwen [1 ]
Poovendran, Parthasarathy [3 ]
Balamurugan, P. [4 ]
机构
[1] Hunan Univ Sci & Technol, Sch Architecture & Art Design, Xiangtan 411201, Peoples R China
[2] Univ Malaya, Cultural Ctr, Kuala Lumpur 50603, Malaysia
[3] Cloud Vantage Solut, Chennai 600061, Tamil Nadu, India
[4] SRM Inst Sci & Technol, Dept Informat Technol, Chengalpattu 603203, India
关键词
Big data analysis; Internet of Things (IoT); Cloud computing (CC); Smart city; INTERNET; THINGS; AUTHENTICATION;
D O I
10.1007/s13369-021-05888-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Smart cities increased residents' quality of life through utilizing networking, information technology, and better data management in the advancing age. The development of big data analytics, cloud computing. IoT technology development (IoT) played a significant role in the workability of intelligent city programs. It reduces the expense and use of resources and improves their use. Efficient data collection, storage, analysis, and service are essential factors for prosperous, intelligent cities. Hence, in this paper, the integration and role of Big data, Cloud, and IoT technologies (BIC) concerning the smart city are examined. This paper deliberated critical ideas and programs for the intelligent community where the BIC improves innovative city applications' services efficiency. Various smart cities' problems were addressed in conjunction with Big Data, cloud computing, and IoT. Finally, this study assessed the system with efficiency in terms of processing time and throughput. The period of processing is when a customer places a request, and the company fulfills the item. The efficiency of processes is "the sum of effort or input to generate the output of your company." For example, if a single pack of gum requires 300 staff, the process efficiency is terrible. And they need to quit the production company for gum. The experimental results show that the proposed BIC model enhances the determination of efficiency ratio of 90.2%, the time consumption ratio is 90%, throughput is 87%, resource utilization is 89%, and the overall performance analysis ratio of 89.3% when compared to other existing approaches.
引用
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页码:4115 / 4115
页数:1
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