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Safely-sensed scientific workflow data layout method under cloud computing environment

A cloud computing environment and data layout technology, applied in computing, computing models, data processing applications, etc., can solve problems such as not taking into account data security requirements

Inactive Publication Date: 2012-07-11
WUHAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the above-mentioned research on the data layout of scientific workflow in the cloud computing environment does not consider meeting the data security requirements.

Method used

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  • Safely-sensed scientific workflow data layout method under cloud computing environment
  • Safely-sensed scientific workflow data layout method under cloud computing environment
  • Safely-sensed scientific workflow data layout method under cloud computing environment

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Embodiment Construction

[0031] The present invention will be described in further detail below in conjunction with accompanying drawings and examples.

[0032] In order to facilitate the description of the content of the present invention, relevant definitions are explained first.

[0033] Definition 1: Data layout problem description

[0034] Given a weighted graph G=(V, E, W), V is a vertex set, where V represents a data set and a data center; E is an edge set, and each data d i with data center dc i There is a path between them; W: E→R+ is the edge weight function, which represents the weight value on each path, and the weight value represents the security deficiency degree DSD of the data; find the n-dimensional vector X=(c 1 , c 3 ,...,c n ), where C i represents the data set d i Place the number of data centers so that the value of the objective functions (4), (5) is the most constrained (6) to be the smallest.

[0035] Min(DSD(w)) (4)

[0036] Min(TimeCost(w)) (5)

[0037] ...

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Abstract

The invention discloses a safely-sensed scientific workflow data layout method under cloud computing environment. For any scientific workflow application task, the method comprises the steps of: placing a fixed position data set on a specified data center according to properties of the data set, selecting an appropriate data center according to factors of data safety lack degree, date importance degree, cost of data transmitting across the data center and the like in combination with an ant colony optimization; and finally selecting the appropriate date center for the scientific workflow task by adopting a computing node selecting method based on maximize scientific workflow task safety service. The method is simple in structure, high in executing efficiency, and suitable for layout of scientific workflow data= under the cloud computing environment, and data safety requirements are met while time cost of data transmitting across the data center is reduced.

Description

technical field [0001] The invention relates to a data layout method of a data-intensive scientific workflow, in particular to a security-aware scientific workflow data layout method under a cloud computing environment. Background technique [0002] Cloud computing is a typical network computing model, emphasizing the scalability and availability of running large-scale applications in a virtual computing environment. Large-scale network applications based on cloud computing present heterogeneous distribution, heterogeneous characteristics, and data-intensive trends, such as scientific workflow systems. Such applications are called data-intensive applications. At present, data-intensive applications have been widely used in fields such as astronomy, high-energy physics, and bioinformatics. The data-intensive nature of this type of application is mainly reflected in the fact that the size of the data it processes usually reaches terabytes or even petabytes, including existing...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/00
Inventor 刘伟杜薇位凯志彭苏
Owner WUHAN UNIV OF TECH
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