Distributed parallel Skyline inquiring method based on cloud computing environment

A cloud computing environment and query method technology, applied in the field of efficient and reliable distributed parallel Skyline query, can solve the problem that the Skyline query method cannot effectively handle node failure, etc., and achieve the effect of realizing task migration, reducing system redundancy, and ensuring correctness

Active Publication Date: 2012-01-11
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0007] The technical problem to be solved by the present invention is: Aiming at the problem that the existing Skyline query method cannot effectively handle the node failure in the query processing process, a distributed parallel Skyline query method based ...

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  • Distributed parallel Skyline inquiring method based on cloud computing environment
  • Distributed parallel Skyline inquiring method based on cloud computing environment
  • Distributed parallel Skyline inquiring method based on cloud computing environment

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Embodiment Construction

[0041] figure 1 It is a physical structure diagram of the cloud computing environment constructed in the first step of the present invention. The nodes of the cloud computing environment are composed of portal nodes and computing nodes. Both portal nodes and compute nodes are computers that contain processors, memory, disks, and network interfaces. Portal nodes and computing nodes are connected through an interconnection network.

[0042] figure 2 It is a software deployment diagram of the cloud computing environment of the present invention. Operating system, TCP / IP network software, task management program and result recovery program are installed on the portal node. Wherein the former two are common software, obtain from the software package of public distribution; The latter two are special-purpose software of the present invention. Operating systems, TCP / IP network software, query processing programs, and fault processing programs are installed on computing nodes. ...

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Abstract

The invention discloses a distributed parallel Skyline inquiring method based on a cloud computing environment, aiming at effectively preventing a node failure from influencing inquiring and processing processes of the distributed parallel Skyline. The technical proposal comprises the steps as follows: firstly, the clouding computing environment which consists of a portal node and N computer nodes is constructed, wherein a task management program and a result recovery program are arranged on the portal node, an inquire processing program and a fault processing program are arranged on the computer nodes; the portal node executes the task management program and transfers the Skyline inquiring request to each computer node; each computer node executes the inquire processing program and implements Skyline inquire processing; each computer node executes the fault processing program, and periodically detects and repairs the fault for the neighbor nodes; the portal node executes the result recovery program, collects a Skyline set of all the computer nodes, gathers the Skyline set and returns the Skyline set to users. By adopting the invention, the influences to the inquire processing process of the distributed parallel Skyline caused by the node failure can be effectively controlled, and high efficiency, reliability and accuracy of the Skyline inquire processing can be guaranteed.

Description

technical field [0001] The invention relates to a distributed parallel processing method of Skyline query, in particular to an efficient and reliable distributed parallel Skyline query method based on cloud computing environment. Background technique [0002] Skyline query is one of the core problems to be solved urgently in the field of massive data management. Skyline query refers to selecting a subset from a given D-dimensional data object set S, and any data object in the subset cannot be controlled by any other data object in S. The so-called control relationship means that in the D-dimensional data object set S, if the data object p is better than another data object q in at least one dimension, and the data object p is not worse than the data object q in other dimensions (p is better than q). greater than or equal to q), then data object p can control data object q. Skyline query is one of the typical methods to solve multi-objective optimization problems. Skyline q...

Claims

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Application Information

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IPC IPC(8): G06F17/30H04L29/08
Inventor 王意洁王媛邓瑞鹏裴晓强李小勇孙伟东马行空
Owner NAT UNIV OF DEFENSE TECH
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