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Task scheduling method and system in cloud computing

A technology of task scheduling and cloud computing, applied in the field of cloud computing

Inactive Publication Date: 2014-06-18
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, at present, there is no better algorithm for task scheduling in cloud computing that can meet the needs of users.

Method used

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  • Task scheduling method and system in cloud computing
  • Task scheduling method and system in cloud computing
  • Task scheduling method and system in cloud computing

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Embodiment Construction

[0108] The present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0109] In order to better understand the present invention, a simple explanation is first carried out to the bacterium looking for food (Bacteria ForagingOptimization, BFO) algorithm below:

[0110] Bacterial foraging algorithm is a new type of bionic random search algorithm, and its biological basis is the intelligent behavior of Escherichia coli in the process of foraging. A control system of Escherichia coli guides its behavior in the process of finding food, including the three steps of orientation, replication and migration (also known as elimination-dispersion), and evaluates the effect of each state change, and then provides the next step. One-step activities provide information. Under the control of this system, E. coli will gradually approach the food source. In the BFO model, the search process judges the pros and cons...

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Abstract

The invention discloses a task scheduling method and a system in cloud computing. The task scheduling method in the cloud computing comprises performing parameterization on characteristic information of tasks and classifying the tasks, computing and obtaining an optimal working node through a bacterial foraging algorithm according a classifying result and matching the working node and the task. The task scheduling method in the cloud computing has the advantages of enabling scheduling of user task groups through the cloud computing to have advantages of allowing swarm intelligence parallel search, being easy to jumping out of a local minimum and the like and being contributed to maintenance of diversity of the task group in the cloud computing due to the fact that the task scheduling and resource allocation problem in cloud computing is achieved through the bacterial foraging algorithm and satisfying user requirements and improving satisfaction of user experience.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a task scheduling method and system in cloud computing. Background technique [0002] Cloud computing is a business computing model that provides infrastructure, platforms and software. It distributes computing tasks on a resource pool composed of a large number of computers, enabling various application systems to obtain computing power, storage space, and information services as needed. The basic principle of cloud computing is to automatically split huge computing processing tasks into countless smaller sub-tasks through the network, and then hand them over to a huge system composed of multiple servers. After searching, computing and analyzing, the processing results are sent back To the user, the network that provides these resources is called the "cloud". The services provided by cloud computing face a very large user group, so the number of tasks in the "cloud" is also very...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/46G06F9/50G06N3/00
CPCG06F9/50G06F9/5066G06F9/5027G06F9/4881G06F9/5083G06F17/11
Inventor 李明俐任建丽
Owner ZTE CORP
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