Cloud Computing Technology: Promises and Concerns

Attiya, Ibrahim; Zhang, Xiaolin

doi:10.5120/ijca2017913094

Cited by 8 publications

(6 citation statements)

References 10 publications

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“…(4) Resource pool and transparency: For suppliers, cloud computing can protect the differences in basic resources such as computing, storage, and business logic. You can perform comprehensive scheduling and management of cloud computing resources across resource boundaries [23,24]. is is a "resource pool" that can provide services to users on demand.…”

Section: Cloud Computing Features Cloud Computing Mainly Has the Following Characteristicsmentioning

confidence: 99%

Personalized Emotion Recognition and Emotion Prediction System Based on Cloud Computing

Tian

2021

Mathematical Problems in Engineering

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Promoting economic development and improving people’s quality of life have a lot to do with the continuous improvement of cloud computing technology and the rapid expansion of applications. Emotions play an important role in all aspects of human life. It is difficult to avoid the influence of inner emotions in people’s behavior and deduction. This article mainly studies the personalized emotion recognition and emotion prediction system based on cloud computing. This paper proposes a method of intelligently identifying users’ emotional states through the use of cloud computing. First, an emotional induction experiment is designed to induce the testers’ positive, neutral, and negative three basic emotional states and collect cloud data and EEG under different emotional states. Then, the cloud data is processed and analyzed to extract emotional features. After that, this paper constructs a facial emotion prediction system based on cloud computing data model, which consists of face detection and facial emotion recognition. The system uses the SVM algorithm for face detection, uses the temporal feature algorithm for facial emotion analysis, and finally uses the classification method of machine learning to classify emotions, so as to realize the purpose of identifying the user’s emotional state through cloud computing technology. Experimental data shows that the EEG signal emotion recognition method based on time domain features performs best has better generalization ability and is improved by 6.3% on the basis of traditional methods. The experimental results show that the personalized emotion recognition method based on cloud computing is more effective than traditional methods.

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Section: Cloud Computing Features Cloud Computing Mainly Has the Following Characteristicsmentioning

confidence: 99%

Personalized Emotion Recognition and Emotion Prediction System Based on Cloud Computing

Tian

2021

Mathematical Problems in Engineering

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“…His idea was that every person on Earth would be connected to the network, from which people receive not only data but also the program. Another scientist, John McCarthy, expressed the idea that computing power would be provided to users as a service [13,14].…”

Section: Key Research Findings 21 the Concept Of Cloud Computing Anmentioning

confidence: 99%

Using Cloud Computing in Financial Institutions in Russia

Bataev¹

2019

Cloud Computing - Technology and Practices

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The modern economy is developing under the influence of information and communication technologies. Cloud computing, Big Data, cyberphysical systems, here is an incomplete list of new directions, which with huge success is seen in every sphere of management and economy. This chapter deals with innovative ways of development connected with the use of cloud computing in the financial sphere. The history of occurrence and the basic preconditions in the development of cloud technology are analyzed. The major stages of the adoption of cloud computing in world development are considered. The main characteristics of cloud computing are explored: the types of clouds and methods of their provision are presented. The analysis of the Russian cloud technology market is carried out, the basic features and tendencies are revealed, and the further ways of development are defined. The evaluation of the possibility of using cloud computing in the financial institutions of the Russian Federation is given. Keywords: IT technologies, cloud computing, types of clouds, kinds of cloud services, income of the Russian cloud computing market, cloud services in financial institutions, growth rate of cloud computing, cloud automated banking systems, advantages of cloud computing implementation

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“…The organization and retrieval of massive information resources on the Internet are mainly done by search engines. However, poor accuracy of search results, lack of intelligence and interactivity, lack of special search, and single interface are the main problems [2]. As an important aspect of information resource organization, information resource storage also has many problems [3].…”

Section: Introductionmentioning

confidence: 99%

Application of Cloud Computing and Information Fusion Technology in Green Investment Evaluation System

Wang

2021

Journal of Sensors

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As an important part of the development of green economy, the green investment evaluation system provides a method to identify the performance of the investment environment and also guides the design of green investment plans. This article is aimed at analyzing the application of cloud computing and information fusion technology in the green investment evaluation system, using empirical analysis, qualitative and quantitative analysis, data integration, and distributed computing algorithms to carry out research. Data acquisition is mainly through cloud platform information fusion, to evaluate the investment subject, investment object, and investment vehicle of green investment. Qualitative and quantitative analysis is mainly through the definition of prerequisites by stipulating certain aspects of green, and the analysis of the country’s data changes in a certain time zone. Focus on the qualitative analysis and research on the green benefit attributes of a certain thing. In addition, by analyzing the influencing factors of the investment development status of green industries in different countries, such as green products, green projects, and green funds, it proves that the application of cloud computing and information fusion technology has a huge effect on the green investment evaluation system. Experimental data shows that in the past five years, investment in fixed assets in my country’s major industries accounted for the proportion of fixed asset investment in the whole society, and investment in environmental protection and energy supply industries has continued to rise. This upward trend is manifested in the fact that the amount of energy investment is increasing year by year. The development trend is the strongest during the development period and the entry period, and its data grows the most rapidly, while investment in the transportation industry has always been listed in the tables. For the first place in the industry, the highest was 20.84%.

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Cloud Computing Technology: Promises and Concerns

Cited by 8 publications

References 10 publications

Personalized Emotion Recognition and Emotion Prediction System Based on Cloud Computing

Personalized Emotion Recognition and Emotion Prediction System Based on Cloud Computing

Using Cloud Computing in Financial Institutions in Russia

Application of Cloud Computing and Information Fusion Technology in Green Investment Evaluation System

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