Method for solving separable task multi-time scheduling model in distributed-type system

A distributed system and scheduling model technology, applied in the information field, can solve the problems that the algorithm is difficult to converge to the global optimal solution, the complexity increases, and the task completion time does not reach the global optimal solution, etc.

Active Publication Date: 2015-11-25
XIDIAN UNIV
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Problems solved by technology

And as the number of processors increases, the complexity of the algorithm increases exponentially
When the number of processors is large, it is difficult for the algorithm to converge to the global optimal solution
[0004] To sum up, the existing multi-pass scheduling algorithm

Method used

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  • Method for solving separable task multi-time scheduling model in distributed-type system
  • Method for solving separable task multi-time scheduling model in distributed-type system
  • Method for solving separable task multi-time scheduling model in distributed-type system

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Embodiment 1

[0092] In accordance with the above technical solution, a method of solving the multi-pass scheduling model of divided tasks in a distributed system in this embodiment, see figure 2 , including the following steps:

[0093] Step 1, build task allocation scheme A=(a ij ) n×m About Processor Scheduling Order The function expression of the scheduling number m and the number n of slave processors participating in the calculation.

[0094] see figure 1 , N+1 processors are connected to each other in a star topology network, where P 0 main processor, {P i |i∈{1,2,...,N}} is the slave processor. see image 3 , (σ 1 ,σ 2 ,...,σ N ) is the arrangement of 1,2,...N, is the scheduling sequence of processors; α ij main processor P 0 The jth schedule is assigned to the slave processor The task size of , where i=1,2,...,n, j=1,2,...,m. slave processor The computational startup overhead of slave processor The time required for calculating the unit task, the size of t...

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Abstract

The invention discloses a method for solving separable task multi-time scheduling model in a distributed-type system. By establishing a new separable task multi-time scheduling model and utilizing genetic algorithm to solve the model, the shortest completion time of a task is acquired. A function expression of a task allocation scheme in regard to scheduling sequence of processors, scheduling times and number of the processors that participates in calculation is derived and further a separable task multi-time scheduling model with the shortest completion time the task as a goal is established. According to the invention, the genetic algorithm for solving the model provided by the invention can solve the best scheduling sequence of the processors, the scheduling times and the number of the processor that participates in the calculation, thus the best task allocation scheme and the shortest completion time of the task can be acquired.

Description

technical field [0001] The invention belongs to the related field of information technology, and relates to a method for solving a multi-pass scheduling model of subdivided tasks under a distributed system. Background technique [0002] Existing separable task scheduling models fall into two categories: single-trip scheduling and multi-trip scheduling. For single-pass scheduling, the master processor divides the task into subtasks with the same number as the slave processors, the master processor transmits tasks to the slave processors in turn, and each processor only receives and calculates the task once. Due to the long idle waiting time of processors assigned tasks, single-pass scheduling is not suitable for large-scale data application problems. For multi-pass scheduling, the task is divided into subtasks larger than the number of processors, and the master processor sends them to each slave processor one by one in multiple passes to complete the calculation. Compared ...

Claims

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Application Information

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IPC IPC(8): G06F9/48
Inventor 王晓丽王宇平卫珍宋雨筱
Owner XIDIAN UNIV
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