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Mobile terminal cloud resource scheduling method based on Hadoop framework

A technology of mobile terminals and scheduling methods, applied in the field of data resources, to achieve the effect of improving the probability of localized execution, high real-time requirements of users, and high concurrency

Inactive Publication Date: 2013-11-27
BEIJING UNIV OF TECH
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Problems solved by technology

Therefore, they are not suitable for mobile cloud computing resource scheduli

Method used

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  • Mobile terminal cloud resource scheduling method based on Hadoop framework
  • Mobile terminal cloud resource scheduling method based on Hadoop framework
  • Mobile terminal cloud resource scheduling method based on Hadoop framework

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Embodiment Construction

[0063] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0064] Step (1): overall architecture.

[0065] The invention is designed for mobile terminal users, and sends job requests to the cloud computing platform through the mobile terminal browser, and the cloud platform is responsible for processing the job requests, and responds the request result to the user through the mobile terminal browser. The cloud computing platform is based on the Hadoop architecture and uses Hadoop's distributed file system HDFS (Hadoop Distributed File System). The overall framework is as follows: Figure 8 shown.

[0066] The cloud computing platform adopts Master / Slave master / slave architecture, including a master node JobTracker and several slave nodes TaskTracker, each node is a computer; JobTracker is responsible for managing and scheduling all job requests and work nodes; TaskTracker is responsible for executing ...

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Abstract

The invention discloses a mobile terminal cloud resource scheduling method based on a Hadoop framework, and belongs to the field of cloud computing platform data resource access. The mobile terminal cloud resource scheduling method is characterized in that a task queue is defined by nodes in a cloud computing platform based on the Hadoop framework, tasks are distributed into the task queue, where a data copy is located, of the working nodes, and when the length of the task queue, where the copy is located, of the nodes is larger than the waiting length threshold value, the tasks are removed from the task queue of the copy and added into the task queue of the shortest node in the task queue inside the framework where the copy is located to wait for being scheduled. According to the mobile terminal cloud resource scheduling method, the characteristics of being small in requested calculated amount, high in concurrency and high in user real-time requirement, of a mobile terminal are combined, the localized executing probability of the operation is greatly improved, and under the situation of a large amount of concurrent requests and the generation of hotspot data, load balancing of all the nodes in a cluster can be kept.

Description

technical field [0001] The invention relates to data resources in a cloud computing platform, in particular to a mobile terminal cloud resource scheduling method based on Hadoop architecture. Background technique [0002] Mobile Internet and cloud computing have complementary advantages, and cloud computing is gradually transitioning from the Internet to the mobile Internet. Due to the limited size and portability requirements of mobile terminal equipment, it is difficult to compare the data processing capability with computers in a short period of time. Therefore, the characteristics of cloud computing can be fully reflected on the mobile Internet, which weakens the processing requirements for mobile terminal equipment. [0003] Mobile cloud computing has the characteristics of small amount of calculation, high concurrency of requests, and high real-time requirements of users. During the execution of tasks, the distance between computing nodes and data is an important facto...

Claims

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Application Information

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IPC IPC(8): H04L29/08
Inventor 沈琦汤艳张猛宋清明
Owner BEIJING UNIV OF TECH
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