Cloud Computing Technology for Digital Economy

Bommala, Harikrishna; Kiran, S.

doi:10.26634/jcc.7.1.17307

Cited by 4 publications

(8 citation statements)

References 2 publications

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“…The construction of cloud platform and system application have strict standards. Cloud computing technology provides more comprehensive technical support and makes privacy management more reasonable, which is consistent with the level of technology development in the new era [ 19 ]. But from another point of view, it is under the influence of cloud platform sharing features that part of the data information is easy to be exposed, which provides opportunities for some illegal intrusion.…”

Section: The Index System Of Security and Privacy Risk Assessment Of Energy Big Data In Cloud Environmentmentioning

confidence: 93%

[Retracted] Security and Privacy Risk Assessment of Energy Big Data in Cloud Environment

Shi

et al. 2021

Computational Intelligence and Neuroscience

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Considering the importance of energy in our lives and its impact on other critical infrastructures, this paper starts from the whole life cycle of big data and divides the security and privacy risk factors of energy big data into five stages: data collection, data transmission, data storage, data use, and data destruction. Integrating into the consideration of cloud environment, this paper fully analyzes the risk factors of each stage and establishes a risk assessment index system for the security and privacy of energy big data. According to the different degrees of risk impact, AHP method is used to give indexes weights, genetic algorithm is used to optimize the initial weights and thresholds of BP neural network, and then the optimized weights and thresholds are given to BP neural network, and the evaluation samples in the database are used to train it. Then, the trained model is used to evaluate a case to verify the applicability of the model.

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Section: The Index System Of Security and Privacy Risk Assessment Of Energy Big Data In Cloud Environmentmentioning

confidence: 93%

[Retracted] Security and Privacy Risk Assessment of Energy Big Data in Cloud Environment

Shi

et al. 2021

Computational Intelligence and Neuroscience

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“…Companies are increasingly embracing a multi-cloud strategy, where they utilize services from [5,11] multiple cloud providers to optimize performance, resilience, and costeffectiveness.…”

Section: Multi-cloud Adoptionmentioning

confidence: 99%

“…Cloud-native development emphasizes building and operating applications specifically for cloud environments, [11] everaging microservices architecture, continuous delivery, and DevOps practices.…”

Section: Shift Towards Cloud-native Developmentmentioning

confidence: 99%

“…The utilization of machine learning algorithms such as decision trees, random forests, support vector machines (SVM), and neural networks can enable the intricate analysis of vast datasets. These algorithms can uncover intricate patterns and correlations within cloud usage data, [11] facilitating insights into performance optimization, security threat detection, and anomaly identification.…”

Section: Machine Learning Algorithmsmentioning

confidence: 99%

“…Cutting-edge recommendation algorithms, including collaborative filtering and contentbased filtering, hold the potential to deliver personalized recommendations for cloud services, configurations, and optimizations [11] algorithms leverage intricate models of user preferences and historical data to provide tailored suggestions, enhancing user experience and efficiency in cloud usage.…”

Section: Recommendation Algorithmsmentioning

confidence: 99%

See 2 more Smart Citations

Cloud Verse: Mapping the new frontiers of cloud computing

Bommala,

Harshith Tej,

Ramesh

et al. 2024

MATEC Web Conf.

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The endeavors to explore and map the dynamic terrain of cloud computing, designated as the CloudVerse. Through a meticulous examination of recent advancements and emerging patterns in cloud technologies, this study aims to furnish a comprehensive portrayal of the present state and future trajectories of cloud computing. Utilizing a blend of literature review and industry scrutiny, the paper identifies pivotal domains of innovation within the CloudVerse, encompassing hybrid cloud infrastructures, serverless computing models, edge computing paradigms, and AI-driven cloud solutions. Furthermore, it delves into the ramifications of these advancements across diverse sectors and deliberates on strategic imperatives for enterprises embracing cloud technologies. Ultimately, this inquiry strives to demarcate the contours and potentials inherent in the CloudVerse, proffering nuanced insights for navigating the intricacies of contemporary cloud computing landscapes.

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Application of Cloud Computing Technology in Information System Construction

Zeng

2021

J. Phys.: Conf. Ser.

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With the rapid development and improvement of information technology, information system construction has new requirements and goals. Cloud computing technology is an inevitable choice in the construction of information system. By taking cloud computing technology as the basic structure framework, the phenomenon of data information island can be broken. The purpose of this paper is to study the application of cloud computing in the construction of information system. Taking the management mode of university campus as an example, based on the research of cloud computing technology, virtual machine technology and Internet of things technology, this paper discusses the data resource management algorithm of smart campus. Aiming at the scheduling model, strategy and research objectives of cloud computing resources in data center, this paper proposes a method of initial allocation and adaptive dynamic scheduling of virtual machine resources. According to the multi-dimensional vector characteristics of virtual machine, this paper proposes a resource allocation algorithm based on multi-objective evolution, and gives four important strategies. The experimental results show that the four advantages and strategies can effectively reduce the number of virtual machine migration and reduce the adverse impact on the overall performance of cloud computing core network.

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Cloud Computing Technology for Digital Economy

Cited by 4 publications

References 2 publications

[Retracted] Security and Privacy Risk Assessment of Energy Big Data in Cloud Environment

[Retracted] Security and Privacy Risk Assessment of Energy Big Data in Cloud Environment

Cloud Verse: Mapping the new frontiers of cloud computing

Application of Cloud Computing Technology in Information System Construction

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