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In today's era of big data, robust least-squares regression becomes a more challenging problem when considering the adversarial corruption along with explosive growth of datasets. Traditional robust methods can handle the noise but suffer from several challenges when applied in huge dataset including 1) computational infeasibility of handling an entire dataset at once, 2) existence of heterogeneously...
In this paper, we present the design and the architecture of the CloudDB AutoAdmin system which aims to fill the existing gaps between the provided cloud database services and the requirements of the consumer applications. In particular, it focuses on facilitating the job of the cloud database consumers in implementing database applications as distributed, scalable, and elastic services with a minimum...
As the development of the grid technology, it becomes more and more important in commerce application to preserve privacy and prevent information from being leaked when querying in a dynamic and heterogeneous grid database. This paper proposes a privacy-preserving query middleware PVOM (privacy-preserving visual organizations mediator) based on the security requirement of heterogeneous grid nodes,...
Grid database is a new research area combined with the database techniques and Grid techniques, while traditional database query and optimization techniques couldn't fully satisfy the need of Grid database because of the dynamic properties of Grid Nodes. The paper brings forward a query plan model/ NSN based on Petri net so as to describe the data relation between subquery and nodes. Based on NSN...
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