CBPM: a dynamic pricing model for cloud-based sensing infrastructure

CBPM: a dynamic pricing model for cloud-based sensing infrastructure

Автор: Rane Dheeraj, Shakhov Vladimir, Srivastava Abhishek

Журнал: Проблемы информатики @problem-info

Рубрика: Прикладные информационные технологии

Статья в выпуске: 1 (38), 2018 года.

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Wireless sensor networks with cloud computing arc drivers to a new stream of technologies like the Internet of Things and innovations in the communications. Cloud computing triumphs with multifaceted benefits to enterprises with cost saving economies, reduced operational, and support costs but higher productivity. The significant functionality of data collected and processed at wireless sensor nodes is rendered fast, uninterrupted and reliably with cloud computing and its optimized implementations. Therefore, sensor network firms arc partnering with cloud service providers, which lease computing infrastructure as required. This paper suggests a model for optimizing the computing potential of the wireless sensor network in conjunction with the pricing model of the cloud. Integration of concepts of cloud and sensor networks takes the advantage of the sealable and dynamic aspect of cloud being exploited for sensory data. The results show that the proposed method adapts well with performance expectations of sensor networks and reduces the cost specific overheads for its largely processing based functioning...

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Cloud computing, dynamic pricing, pricing band, pricing analysis, cloud broker pricing model

Короткий адрес: https://sciup.org/143167044

IDR: 143167044

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