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Dynamic skyline queries are useful in decision making and data-intensive applications. With the number of data increases, such skyline calculation is a challenging problem. Unfortunately, skyline query processing in centralized system is not suitable for the case. In this paper we propose a parallel algorithm which can calculate dynamic skylines with MapReduce. Firstly, we build an appropriate Inverted...
Skyline queries are useful in decision making applications. Skyline queries in highly mobile distributed environments have attracted many attentions recently due to the development of mobile internet device. The properties of distributed computing make skyline queries more complicated especially in any subspace. Conventional skyline algorithms do not support subspace skyline queries in distributed...
Distributed computing infrastructure's data storage subsystems are usually physically scattered among several nodes and logically shared among several users and (local) administrators. It is therefore necessary to provide users with adequate mechanisms and tools for information and data security management, especially in large scale systems since the complexity of the problem increases with the number...
Analysis of rail freight data is essential to make a better strategy for railway freight traffic organization. However, rail freight data are national-widely stored in data center of railway bureaus. Furthermore, the size of the data is very large and grows rapidly. Although analytical data processing has received much attention these years, little attention is paid to transparently processing data...
The spread of worldwide networks and the technological trend are feeding the progress of network and distributed computing in different directions (grid, cloud, autonomic, ubiquitous, pervasive, volunteer, etc). With regard to information, great amount of data widely (geographically) spread over the network require adequate management, to ensure availability for authorized users only, confidentiality...
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