Quanqing Xu

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— Skyline queries are capable of retrieving interesting points from a large data set according to multiple criteria. Most work on skyline queries so far has assumed a centralized storage, whereas in practice relevant data are often distributed among geographically scattered sites. In this work, we tackle constrained skyline queries in large-scale(More)
—Cloud computing represents a paradigm shift driven by the increasing demand of Web based applications for elastic, scalable and efficient system architectures that can efficiently support their ever-growing data volume and large-scale data analysis. A typical data management system has to deal with real-time updates by individual users, and as well as(More)
An interesting problem in peer-based data management is efficient support for skyline queries within a multi-attribute space. A skyline query retrieves from a set of multi-dimensional data points a subset of interesting points, compared to which no other points are better. Skyline queries play an important role in multi-criteria decision making and user(More)
—Cloud computing represents a paradigm shift driven by the increasing demand of Web based applications for elastic, scalable and efficient system architectures that can efficiently support their ever-growing data volume and large-scale data analysis. A typical data management system has to deal with real-time updates by individual users, and as well as(More)
—Peer-to-peer (P2P) computing systems have been thought of as a powerful paradigm for data sharing, and peer-based data management has attracted increasing interest from the database and information retrieval communities recently. In this paper, we investigate the multi-dimensional skyline computation problem on a structured peer-to-peer network. In order(More)
The Cloud is fast gaining popularity as a platform for deploying Software as a Service (SaaS) applications. In principle, the Cloud provides unlimited compute resources, enabling deployed services to scale seamlessly. Moreover, the pay-as-you-go model in the Cloud reduces the maintenance overhead of the applications. Given the advantages of the Cloud, it is(More)
—Efficient and scalable distributed metadata management is critically important to overall system performance in large-scale distributed storage systems, especially in the EB era. Traditional state-of-the-art distributed metadata management schemes include hash-based mapping and subtree partitioning. The former evenly distributes workload among metadata(More)
— To explore the benefit of advertising instant and location-aware commercials that can not be effectively promoted by traditional medium like TV program and Internet, we propose in this paper a solution for disseminating instant advertisements to users within the area of interest through a Mobile Peer-to-Peer Network. This is a new application scenario,(More)