Performance analysis and system optimization of an energy-saving mechanism in cloud computing with correlated traffic

Yan, Xuena; Jin, Shunfu; Yue, Wuyi

doi:10.3934/jimo.2021106

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…First of all, through the enterprise's good crisis management system and the collection and arrangement of crisis data, the risks and threats in all aspects of enterprise operation are identified and analyzed, and potential business crises, institutional crises, management crises, security crises and competitive crises are found in time. Secondly, the information from outside the enterprise, among which the most influential is the public opinion information from the network, and the crisis monitoring mechanism and discovery technology for various information sources are established [10].…”

Section: Figure 1 Cloud Computing Service Model 4 Cloud Computing Big...mentioning

confidence: 99%

Enterprise Big Data Management and Analysis System Based on Cloud Computing

Li¹,

Li²

2023

Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Han

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In a large information environment, business problems are characterized by high reliability, uncertainties, and informational difficulties. Response ability has exceeded the ability of enterprises to manage them. In order to solve this problem, this article presents a design idea for emergency management system based on cloud computing technology in large data environment. It analyzes the main operation modes of the disaster management cloud platform, including LAS, PaaS, and SaaS, to meet the complex disaster management in large data environment. Using the advantage of cloud computing platform to achieve enterprise information crisis management can help enterprises to obtain timely and accurate information, and reduce the cost of decisionmaking problem. Cooperative crisis management of large groups under large information circumstances is a complex interactive decision-making process. The process of pushing for information resolution and providing authorization for crisis management, as well as mechanisms for demobilization, coordination, and crisis management, the evaluation and elimination mechanism of crisis response risks, and the feedback and negotiation mechanism of disposal results are the problems that need to be solved in the crisis management decision support system under big data.

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Section: Figure 1 Cloud Computing Service Model 4 Cloud Computing Big...mentioning

confidence: 99%

Enterprise Big Data Management and Analysis System Based on Cloud Computing

Li¹,

Li²

2023

Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Han

View full text Add to dashboard Cite

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Business Optimization of Quantitative Analytics for Trade-off between Cost and System Availability in Cloud Logistics

Chiang,

Lee,

Shih

et al. 2024

Preprint

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Cost item is one of the main issues that will drive the design of logistics on cloud computing (CC), especially of those devoted to provide services in a long-term and steady manner. The high availability of cloud platform has emerged to an essential requirement for CC business. To keep the service level agreement committed to cloud customers, the CC platform should adopt necessary cloud logistic approach to backup breakdown servers. Aiming at searching for a feasible architecture with optimal running cost, two control parameters of standbys and repairmen in the cloud logistics has been considered to maintain regulated service quality for the cloud enterprise. Based on the queuing theory, quantitative exploration with MRP (Machine Repair Problem) model has been adopted and conducted for optimal methodology. The proposed cloud logistic framework has been designed in systematic profile. Comprehensive mathematical materials have been elaborated in details between cost pattern and system availability. Relevant numerical experiments have been conducted to verify the feasibility for trade-off between cost and availability as well. On engineering application, the proposed approach indeed provides a feasibly cost-effective decision-making support to adapt cloud-based logistics.

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Performance analysis and system optimization of an energy-saving mechanism in cloud computing with correlated traffic

Cited by 2 publications

References 35 publications

Enterprise Big Data Management and Analysis System Based on Cloud Computing

Enterprise Big Data Management and Analysis System Based on Cloud Computing

Business Optimization of Quantitative Analytics for Trade-off between Cost and System Availability in Cloud Logistics

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