Optimal service pricing for a cloud cache

Verena Kantere*, Debabrata Dash, Grégory François, Sofia Kyriakopoulou, Anastasia Ailamaki

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Cloud applications that offer data management services are emerging. Such clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource-economic way that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services. The model should be plausible in that it reflects the correlation of cache structures involved in the queries. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes. This paper proposes a novel price-demand model designed for a cloud cache and a dynamic pricing scheme for queries executed in the cloud cache. The pricing solution employs a novel method that estimates the correlations of the cache services in an time-efficient manner. The experimental study shows the efficiency of the solution.

Original languageEnglish
Article number5710920
Pages (from-to)1345-1358
Number of pages14
JournalIEEE Transactions on Knowledge and Data Engineering
Volume23
Issue number9
DOIs
Publication statusPublished - 2011

Keywords

  • Cloud data management
  • cloud service pricing
  • data services

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