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Cloud workflow virtual machine configuration and task scheduling collaborative optimization method in heterogeneous environment

A task scheduling and virtual machine technology, applied in the fields of computer technology, information technology and system engineering, can solve the problems of lack of integrated collaborative optimization method for resource allocation and task scheduling, and low execution performance of cloud workflow

Inactive Publication Date: 2020-04-17
ZHEJIANG GONGSHANG UNIVERSITY
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Problems solved by technology

[0005] Aiming at the current optimization of cloud workflow execution, usually only from the perspective of resource configuration or task scheduling, the lack of an integrated collaborative optimization method for resource configuration and task scheduling, and the low performance of cloud workflow execution, the present invention provides a heterogeneous The collaborative optimization method of cloud workflow virtual machine configuration and task scheduling in the environment effectively improves the execution performance of cloud workflow

Method used

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  • Cloud workflow virtual machine configuration and task scheduling collaborative optimization method in heterogeneous environment
  • Cloud workflow virtual machine configuration and task scheduling collaborative optimization method in heterogeneous environment
  • Cloud workflow virtual machine configuration and task scheduling collaborative optimization method in heterogeneous environment

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Embodiment Construction

[0191] Combine below figure 1 , figure 2 The present invention will be further described in detail with reference to and examples, but the present invention is not limited to the following examples.

[0192] Assume that the cloud computing service provider, that is, the cloud computing environment, has five virtual machine types vm numbered from 1 to 5 1 , vm 2 , vm 3 , vm 4 , vm 5 Available for lease, the computing power, bandwidth, unit time cost, fixed start-up cost, minimum billing time unit, and minimum start-up time of various virtual machine types are shown in Table 1; the timing relationship between a Montage workflow task is as follows figure 2 As shown, 15 tasks numbered 1 to 15 t 1 , t 2 ,...,t 15 The composition, the execution length of each task, the name and length of the input files required for processing and the processed output files are shown in Table 2.

[0193]

[0194] Table 1

[0195]

[0196]

[0197] Table 2

[0198] For the above...

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Abstract

The invention discloses a cloud workflow virtual machine configuration and task scheduling collaborative optimization method in a heterogeneous environment. The method comprises the following steps: acquiring information required for executing optimization; calculating a hierarchical value of the task; initializing a contemporary population; decoding the improved contemporary population to calculate the fitness value of the improved contemporary population; performing crossover operation to generate a new population; performing mutation operation on the new population; decoding the improved new population to calculate the fitness value of the improved new population, and forming a new contemporary population by the contemporary population and the new population; and outputting an executionoptimization result until a termination condition is satisfied. Compared with a traditional method, the method is suitable for the heterogeneous environment, integrated collaborative optimization ofresource allocation and task scheduling is achieved, and meanwhile the overall efficiency of the algorithm is effectively improved.

Description

technical field [0001] The present invention relates to the fields of computer technology, information technology and system engineering, in particular to a cloud workflow execution optimization method, more specifically, to a cloud workflow virtual machine configuration and task scheduling collaborative optimization method in a heterogeneous environment. Background technique [0002] Workflow under the cloud computing environment, referred to as "cloud workflow", is the integration of cloud computing and workflow-related technologies. Management, supply chain management and health care and other fields have broad application prospects. In cloud workflow, there are various types of computing resources and multiple tasks, and there are timing constraints between tasks. During execution, virtual machines are usually used as the smallest allocation unit of computing resources to receive and process these tasks. Cloud workflow execution or scheduling optimization refers to how ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/455G06F9/48
CPCG06F9/45558G06F9/4881
Inventor 谢毅汪炜军
Owner ZHEJIANG GONGSHANG UNIVERSITY
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