Energy consumption optimization method for cloud workflow scheduling, and cloud computing system

An optimization method and workflow technology, applied in transmission systems, digital transmission systems, electrical components, etc., can solve problems such as scheduling algorithms that do not take energy consumption into account, energy consumption of services and task scheduling, etc., to improve cloud services Quality, reduced operating costs, and low-cost effects

Inactive Publication Date: 2018-11-06
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0003] In summary, the problems in the prior art are: The existing workflow scheduling algorithms, whether they are time-optimized or cost-optimized, do not take into account the energy consumption problems faced in the cloud computing environment, resulting in the phenomenon of energy consumption that does not match the scheduling of services and tasks.

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  • Energy consumption optimization method for cloud workflow scheduling, and cloud computing system
  • Energy consumption optimization method for cloud workflow scheduling, and cloud computing system
  • Energy consumption optimization method for cloud workflow scheduling, and cloud computing system

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Embodiment Construction

[0090] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0091] The present invention implements energy consumption optimization on the basis of satisfying the service level agreement, so as to eliminate the phenomenon of energy consumption waste caused by mismatched scheduling of tasks in the workflow to the greatest extent.

[0092] Such as figure 1 As shown, the energy consumption optimization method for cloud workflow scheduling provided by the embodiment of the present invention includes the following steps:

[0093] S101: Using the critical path to search for all feasible scheduling solutions of the cloud workflow application;

[0094] S102: Find an optimal scheduling sc...

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Abstract

The invention belongs to the technical field of transmission control procedures, and discloses an energy consumption optimization method for cloud workflow scheduling, and a cloud computing system. Cloud computing, an emerging service supply mode in a distributed environment, needs massive computing resources, causing high energy consumption. In the cloud computing system, execution of a cloud workflow through an improper scheduling method may cause energy waste. To solve the problem of high energy consumption in execution of the cloud workflow, an energy consumption model is built for the cloud workflow, and a cloud workflow scheduling energy consumption optimization algorithm based on SLA is provided, meeting time and cost requirements and lowering energy consumption. According to experiment results, compared with the QoS-based workflow scheduling algorithm, the optimization algorithm of the invention meets time and cost requirements set by a user and lowers average energy consumption.

Description

technical field [0001] The invention belongs to the technical field of transmission control procedures, and in particular relates to a method for optimizing energy consumption of cloud workflow scheduling and a cloud computing system. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: Because the cloud computing system concentrates a large number of computing resources and storage resources, in order to achieve high efficiency, low cost and security of system operation, many problems need to be solved, among which high energy consumption is one of the most serious problems. According to statistics, from 2005 to 2010, the energy consumed by cloud computing data centers increased by 56%. In 2010, the electricity consumed by it accounted for about 1.1% to 1.5% of the total global electricity consumption. In the cloud computing system, in addition to the energy consumption necessary to perform user tasks, there is a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24
CPCH04L41/145H04L41/147H04L41/5041H04L41/5051H04L41/5054
Inventor 罗永红
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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