Method for constraining workflow scheduling in cloud environment based on ant colony optimization algorithm through deadline
An ant colony optimization algorithm and deadline technology, applied in computing, program startup/switching, program control design, etc., can solve problems such as inaccurate estimation of workflow deadlines
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[0054] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in detail:
[0055] Examples of cloud workflow applications using various cloud service models are shown in figure 1 As shown, because the cloud environment has a large number of resources, including computing resources, memory resources, storage resources and network resources, etc., and the resources can be dynamically expanded and used on demand, many enterprises and scientific research institutions submit various complex applications to the It can be implemented in different cloud environments, such as Software as a Service (Software as a Service, SaaS), Platform as a Service (PaaS, PaaS), and Infrastructure as a Service, IaaS (Infrastructure as a Service).
[0056] The architecture diagram of the cloud workflow management system is as follows: figure 2 As shown, the cloud workflow management system has four layers, from top to bottom are workflow application inp...
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