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Spatial-aware request scheduling and optimization method in distributed green cloud data center

A cloud data center, request scheduling technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve problems such as inability to handle application requests, limited resources, etc., and achieve the effect of minimizing the total cost

Active Publication Date: 2020-02-21
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the arrival of user application requests has no specific rules, and a single green cloud data center has limited resources, so it cannot handle all application requests.

Method used

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  • Spatial-aware request scheduling and optimization method in distributed green cloud data center
  • Spatial-aware request scheduling and optimization method in distributed green cloud data center
  • Spatial-aware request scheduling and optimization method in distributed green cloud data center

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Embodiment Construction

[0064] In order to illustrate the present invention more clearly, the present invention will be further described below in conjunction with preferred embodiments and accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. Those skilled in the art should understand that the content specifically described below is illustrative rather than restrictive, and should not limit the protection scope of the present invention.

[0065] Such as figure 1 and figure 2 As shown, a space-aware request scheduling and optimization method in a distributed green cloud data center disclosed by the present invention includes the following steps:

[0066] S1. According to the requests of different types of applications, establish a distributed green cloud data center architecture composed of multiple network service providers and multiple green clouds located in different geographical locations:

[0067] Green cloud data centers located in each geographic ...

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Abstract

The invention discloses a space-aware request scheduling and optimization method in a distributed green cloud data center. The method comprehensively considers factors such as the price of electric energy generated by thermal power generation, wind speed, solar radiation intensity, and on-site air density in different geographical locations. Variety. For the requests of multiple applications, this method establishes a framework for processing multi-type application requests in a distributed green cloud data center environment. Based on this, a non-linear constrained optimization model for request scheduling of the total cost of cloud providers is established, and a A penalty function method is used to transform it into an unconstrained optimization model, and then a hybrid meta-heuristic optimization algorithm based on simulated annealing and bat algorithm is used to solve the model, realizing space-aware request scheduling in a distributed green cloud data center environment. The present invention can dispatch all arriving application requests to multiple green cloud data centers for execution, thereby minimizing the total cost of the cloud provider and ensuring the delay time requirements of all application requests.

Description

technical field [0001] The invention relates to the technical field of cloud computing resource scheduling. More specifically, it relates to a space-aware request scheduling and optimization method in a distributed green cloud data center. Background technique [0002] In order to enable global users to flexibly use resource services, the infrastructure in cloud computing usually includes millions of servers and cooling facilities. The energy cost of green cloud providers (such as Microsoft, Amazon) has increased significantly in recent years as the types and numbers of applications have increased. In 2014, the energy consumption of all data centers in the United States reached 70 billion kWh, which accounted for 2% of the total energy consumption in the United States. Data show that this proportion will reach 4% in 2020. In the United States, more than 57% of energy is obtained by burning fossil fuels such as coal to generate electricity. However, this will bring irreve...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08H04L12/863H04L12/875H04L47/56
CPCH04L47/56H04L47/622H04L67/10H04L67/52H04L67/5681H04L67/60
Inventor 苑海涛
Owner BEIJING JIAOTONG UNIV
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