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Participatory regression modeling is a cost-efficient mechanism to establish the relationships among multiple dimensions of sensory data collected from volunteers. Getting an accurate model estimate is challenging for two main reasons. First, with the concern of confidentiality of individual private data, the original data are nearly unavailable; second, low quality data with outliers are inherently...
Nowadays, large-scale Cloud-based applications have put forward higher demand for storage ability of data centres. Data in the Cloud need to be stored with high efficiency and cost effectiveness while meeting the requirement of reliability. While in current Cloud systems, typical 3-replicas data replication strategies are applied for data reliability, in this paper we propose a novel cost-effective...
As a programming model, MapReduce is popularly and widely used in processing and generating large cluster of data sets distributed on large amount of machines. With its widespread use, its validity and other major properties need to be analyzed in a formal framework. In this paper, a formal model is presented using CSP method. We focus on the dominant parts of MapReduce and formalize them in detail...
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