Communications of the ACM
Research Brings Cloud Costs Back to Earth
Swinburne University professors John Grundy, left, and Yun Yang
Photo courtesy of Paul Jones
Swinburne University of Technology researchers are developing ways to reduce the cost of Internet data storage and retrieval in cloud computing.
The researchers, led by Swinburne professors Yun Yang and John Grundy, are developing more cost-effective models for cloud computing's heaviest users by studying the management of raw data and intermediate data sets. The process of finding a balance between storage and computation cost "is complex, and there are currently no decision-making tools to advise on whether to store or delete intermediate datasets, and if to store, which ones," Grundy says.
The researchers developed a mathematical model that factors in the size of the initial datasets, the rates charged by the service provider, and the amount of intermediate data stored in the specified time. "The formula can be used to find the best deals for storing data in the cloud," Yang says.
In addition, the researchers have developed an Intermediate Data-dependency Graph (IDG), which helps users decide how to spend their money. "IDG records how each intermediate dataset is generated from the one before it and shows the generation relationship between them," Grundy says.
The researchers also are working on models that will enable users to determine the minimum cost in real time.
From Swinburne University of Technology (Australia)
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