Study of Smart Transportation Data Center Virtualization Based on VMware vSphere and Parallel Continuous Query Algorithm over Massive Data Streams

Efficient Processing of ContinuousSkylineQuery over Smarter Traffic Data Stream for Cloud Computing

Discrete Dynamics in Nature and Society ◽

10.1155/2013/209672 ◽

2013 ◽

Vol 2013 ◽

pp. 1-10 ◽

Cited By ~ 2

Author(s):

Wang Hanning ◽

Xu Weixiang ◽

Jiulin Yang ◽

Lili Wei ◽

Jia Chaolong

Keyword(s):

Cloud Computing ◽

Real Time ◽

Data Stream ◽

Sliding Window ◽

Continuous Query ◽

Traffic Data ◽

Stream Data ◽

Smart Transportation ◽

Efficient Processing ◽

Query Algorithm

The analyzing and processing of multisource real-time transportation data stream lay a foundation for the smart transportation's sensibility, interconnection, integration, and real-time decision making. Strong computing ability and valid mass data management mode provided by the cloud computing, is feasible for handlingSkylinecontinuous query in the mass distributed uncertain transportation data stream. In this paper, we gave architecture of layered smart transportation about data processing, and we formalized the description about continuous query over smart transportation dataSkyline. Besides, we proposedmMR-SUDSalgorithm (Skylinequery algorithm of uncertain transportation stream data based onmicro-batchinMap Reduce) based on sliding window division and architecture.

Download Full-text

Window-based multiple continuous query algorithm for data streams

The Journal of Supercomputing ◽

10.1007/s11227-019-02856-z ◽

2019 ◽

Vol 75 (9) ◽

pp. 5782-5807

Author(s):

Wen Liu ◽

Tuqian Zhang ◽

Junxia Liu

Keyword(s):

Data Streams ◽

Continuous Query ◽

Query Algorithm

Download Full-text

Tryton Supercomputer Capabilities for Analysis of Massive Data Streams

Polish Maritime Research ◽

10.1515/pomr-2015-0062 ◽

2015 ◽

Vol 22 (3) ◽

pp. 99-104 ◽

Cited By ~ 5

Author(s):

Henryk Krawczyk ◽

Michał Nykiel ◽

Jerzy Proficz

Keyword(s):

Data Streams ◽

3D Visualization ◽

Massive Data ◽

Software Components ◽

Network Nodes ◽

Computer Center ◽

University Of Technology ◽

The Status ◽

Visualization Techniques ◽

Massive Parallel Processing

Abstract The recently deployed supercomputer Tryton, located in the Academic Computer Center of Gdansk University of Technology, provides great means for massive parallel processing. Moreover, the status of the Center as one of the main network nodes in the PIONIER network enables the fast and reliable transfer of data produced by miscellaneous devices scattered in the area of the whole country. The typical examples of such data are streams containing radio-telescope and satellite observations. Their analysis, especially with real-time constraints, can be challenging and requires the usage of dedicated software components. We propose a solution for such parallel analysis using the supercomputer, supervised by the KASKADA platform, which with the conjunction with immerse 3D visualization techniques can be used to solve problems such as pulsar detection and chronometric or oil-spill simulation on the sea surface.

Download Full-text