.png){kind=icon}
Return
Pricing and Repurchasing for Big Data Processing in Multi-Clouds
.png){kind=icon}
OA
AI
DOI：10.1109/TETC.2016.2517930.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Processing streaming big data becomes critical as new diver Internet of Thing applications begin to emerge. The existing cloud pricing strategy is unfriendly for processing streaming big data with varying loads. Multiple cloud environments are a potential solution with an efficient pay-on-demand pricing strategy for processing streaming big data. In this paper, we propose an intermediary framework with multiple cloud environments to provide streaming big data computing service with lower cost per load, in which a cloud service intermediary rents the cloud service from multiple cloud providers and provides streaming processing service to the users with multiple service interfaces. In this framework, we also propose a pricing strategy to maximize the revenue of the multiple cloud intermediaries. With extensive simulations, our pricing strategy brings higher revenue than other pricing methods.
Keywords:
Streaming big data
cloud computing
multiple cloud
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.4
Papers:
1.1K
Citations:
3.4K
Organization
Cited Papers
ShareSaveShareSaveShareSaveShareSaveShareSavePredictors of real-world parents’ acceptance to vaccinate their children against the COVID-19.png)
OAAI
IF0
OAAIShareSave
View more