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Dynamic load balancing method taking user periodical resource demand into account in cloud environment

A technology of resource demand and dynamic load, applied in electrical components, transmission systems, etc., can solve the problem of high load balancing calculation cost, and achieve the effect of dynamic load balancing, optimized configuration, and resource realization.

Inactive Publication Date: 2015-02-25
SOUTHEAST UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

When the node scale is large, the computational cost of load balancing in this way will be very high

Method used

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  • Dynamic load balancing method taking user periodical resource demand into account in cloud environment
  • Dynamic load balancing method taking user periodical resource demand into account in cloud environment
  • Dynamic load balancing method taking user periodical resource demand into account in cloud environment

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Embodiment Construction

[0029] Reducing the response time of computing tasks is an important performance indicator in cloud platforms. Most of today's cloud platforms use various load balancing strategies to solve this problem. The traditional load balancing methods are static load balancing and dynamic load balancing. Although static load balancing can well meet the load balancing purpose at a certain moment, at the next moment, due to the arrival of new tasks in the system and the departure of old tasks at the same time (the task will leave the system after completion), the original task of the system Some load states will be broken, and a new round of load balancing needs to be performed again. Frequent load balancing will greatly increase the computing cost of the system and the network bandwidth consumption during task migration. Dynamic load balancing, by using historical information to predict the arrival of future tasks, can alleviate the unbalanced load in the future to a certain extent, th...

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Abstract

The invention provides a dynamic load balancing method taking user periodical resource demand into account in a cloud environment in order to resolve the technical problem of the load balancing problem in the cloud environment. The dynamic load balancing method includes the steps that each computing node has task reaching information lately recorded by a window, the size of the windows can be changed by analyzing the current window state, the future task intensity can be predicated through the task information of the current window, and the future task intensity predicted by each computing node is taken into account in the task distribution process. According to the scheme, the dynamic load balancing method predicts the future task intensity through the partial characteristic of the task instead of the overall historical task information and can obtain a more accurate and real-time predication result, thereby shortening the response time of the computing task.

Description

technical field [0001] The invention relates to a distributed dynamic load balancing method, in particular to a dynamic load balancing method aware of user periodic resource requirements in a cloud environment. Background technique [0002] In recent years, with its convenient and economical service model, cloud computing has been increasingly favored by individuals, government departments and enterprises. Intuitively speaking, cloud computing is such a service model: users submit their own application requests on demand by using cloud platforms such as Amazon (Amazon EC2), Microsoft (Microsoft Azure) and Google (Google App), including computing , storage, traffic and other resources, these cloud service providers then allocate corresponding resources in the form of virtual machines to users who submit resource applications, and users only need to pay for the resources they occupy by time. [0003] There are many indicators to measure the operating efficiency of a cloud pla...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08
CPCH04L67/1027H04L67/1097
Inventor 蒋嶷川费超王万元
Owner SOUTHEAST UNIV
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