Charging Model Research of Infrastructure Layer in Cloud Computing Based on Cost-Profit Petri Net

E-commerce service has become the essential issues in internet, but in how to use cloud computing to serve the information processing of E-commerce in order to enhance the efficiency of management is still an emerging research topic. This study explore the concept of cloud services and cloud application mechanisms in e-commerce model，analyzing the technology construction and means of support based on new business model to improve the service management process. Finally, according to these analysis, we discus some problems of cloud service which can enhance the use of its capabilities and better improve the efficiency of e-commerce operations.

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The New Model Research of Product Design Services Based on Cloud Computing

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.496-500.2621 ◽

2014 ◽

Vol 496-500 ◽

pp. 2621-2625

Author(s):

Xin Liu ◽

Sui Huai Yu ◽

Ming Lei Zhao ◽

Guo Chang Liu

Keyword(s):

Cloud Computing ◽

Product Design ◽

Multiple Attribute Decision Making ◽

New Model ◽

Manufacturing Enterprises ◽

Software Interface ◽

Model Research ◽

Multiple Attribute ◽

The Cost ◽

Push Out

A new model of the product design services based on cloud computing is studied by this paper. Using this new model, the cost of manufacturing enterprises developing new products can be diminished, meanwhile, the developing time can be reduced, which means the manufacturing enterprises can push out new product more rapidly than before. At first, the paper analyses the new model of the product design services. At second, by Multiple Attribute Decision Making method, the preferential model is built in design information resources gathering. At third, the software interface of how to select the best collection by the preferential model is developed. At last, it is demonstrated that the new model is highly effective.

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A Classified Access Control Model Research for Cloud Computing

Lecture Notes in Electrical Engineering - Proceedings of 2017 Chinese Intelligent Automation Conference ◽

10.1007/978-981-10-6445-6_36 ◽

2017 ◽

pp. 327-334

Author(s):

Wenyi Shen ◽

Linbo Tao ◽

Bo Liu ◽

Yishen Wang

Keyword(s):

Cloud Computing ◽

Access Control ◽

Control Model ◽

Access Control Model ◽

Model Research

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Dynamic Scalable Stochastic Petri Net: A Novel Model for Designing and Analysis of Resource Scheduling in Cloud Computing

Scientific Programming ◽

10.1155/2016/9259248 ◽

2016 ◽

Vol 2016 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

Hua He ◽

Shanchen Pang ◽

Zenghua Zhao

Keyword(s):

Cloud Computing ◽

Petri Net ◽

Performance Indicators ◽

Large Scale ◽

Computing Systems ◽

Average Completion Time ◽

Stochastic Petri Net ◽

Fair Scheduling ◽

And Performance ◽

Improved Algorithm

Performance evaluation of cloud computing systems studies the relationships among system configuration, system load, and performance indicators. However, such evaluation is not feasible by dint of measurement methods or simulation methods, due to the properties of cloud computing, such as large scale, diversity, and dynamics. To overcome those challenges, we present a novel Dynamic Scalable Stochastic Petri Net (DSSPN) to model and analyze the performance of cloud computing systems. DSSPN can not only clearly depict system dynamic behaviors in an intuitive and efficient way but also easily discover performance deficiencies and bottlenecks of systems. In this study, we further elaborate some properties of DSSPN. In addition, we improve fair scheduling taking into consideration job diversity and resource heterogeneity. To validate the improved algorithm and the applicability of DSSPN, we conduct extensive experiments through Stochastic Petri Net Package (SPNP). The performance results show that the improved algorithm is better than fair scheduling in some key performance indicators, such as average throughput, response time, and average completion time.

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