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Cloud workflow virtual machine configuration and task scheduling collaborative optimization method

A task scheduling and collaborative optimization technology, applied in the fields of information technology, system engineering, and computer technology, can solve the problems of lack of integrated collaborative optimization methods for resource allocation and task scheduling, and low execution performance of cloud workflows, so as to achieve the goal of improving execution performance Effect

Pending Publication Date: 2020-04-07
ZHEJIANG UNIV OF TECH
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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 cloud workflow The collaborative optimization method of flow virtual machine configuration and task scheduling 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
  • Cloud workflow virtual machine configuration and task scheduling collaborative optimization method
  • Cloud workflow virtual machine configuration and task scheduling collaborative optimization method

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Embodiment Construction

[0186] 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.

[0187] 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, there are 15 tasks numbered from 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.

[0188]

[0189]

[0190] Table 1

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[0192] Table 2

[0193...

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Abstract

The invention discloses a cloud workflow virtual machine configuration and task scheduling collaborative optimization method, comprising the following steps: acquiring information required for executing optimization; calculating a hierarchical value of the task; initializing a contemporary population; decoding, improving and calculating a fitness value; performing independent evolution on a plurality of sub-populations, and timely performing communication among the sub-populations; and until a termination condition is satisfied, outputting an execution optimization result. Compared with a traditional method, the cloud workflow virtual machine configuration and task scheduling collaborative optimization method adopts the methods and strategies based on topological sorting and continuous biased coding, initial individual generation based on hierarchy and benefit ratio, serial individual decoding based on an insertion mode, forward and backward individual decoding and improvement, multi-population coordinated evolution and the like, can realize integrated collaborative optimization of resource allocation and task scheduling, and meanwhile can effectively improve the overall efficiencyof the algorithm.

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, and more specifically, to a cloud workflow virtual machine configuration and task scheduling collaborative optimization method. 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 multiple 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 to reasonably configure vi...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06F9/48G06N3/12G06Q20/14
CPCG06F9/5077G06F9/4881G06N3/126G06Q20/14
Inventor 曾晰纪仁全张利计时鸣单晓杭李研彪谢毅
Owner ZHEJIANG UNIV OF TECH
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