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Dynamic planning method of data center server resource

A technology for server resources and data centers, applied in the field of dynamic planning of server resources in data centers, it can solve the problems of network traffic blocking at certain nodes, lack of solutions, information security loopholes, etc., and achieve the effect of taking into account resource utilization.

Active Publication Date: 2015-07-29
ACER INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the resource allocation mechanism of the existing data center to the network structure (topology) of individual cloud services is not a non-blocking (non-blocking) network, so in many cases even the network structure occupied by the service still has remaining bandwidth Wide, but may not be fully utilized because network traffic is blocked at some nodes
At the same time, the transmission paths of different cloud services may also interfere with each other due to shared network resources
Therefore, it is difficult for the existing mechanism to balance the three goals of data center resource utilization, network performance, and service stability
Moreover, the existing hybrid network resource sharing mechanism in the data center may also bring information security vulnerabilities
Regarding these challenges, there is still a lack of unified and mature solutions

Method used

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  • Dynamic planning method of data center server resource
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  • Dynamic planning method of data center server resource

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Embodiment Construction

[0047] The present invention designs several special resource allocation forms for a multifunctional fattree network architecture, so that each cloud service can have a non-blocking network architecture, and can adapt to changing network frequencies. wide demand. In addition, the present invention also designs a resource reorganization mechanism according to the characteristics of these resource allocation forms, which can quickly calculate a resource reorganization schedule that is guaranteed to be feasible and can be performed in parallel within polynomial time. Therefore, fragmented resources can be reorganized to free up a complete space to meet new cloud service requirements.

[0048] figure 1 It is a schematic diagram of a multifunctional tree network architecture shown in an embodiment of the present invention. Please refer to figure 1 , the network architecture 10 of this embodiment is an 8-ary multifunctional tree network architecture constructed by 8-port switches...

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Abstract

The invention provides a dynamic planning method of data center server resource, suitable for d servers configured by a data center. The data center comprises multiple pods, each pod comprises racks, each rack can be provided with multiple servers, and d represents a positive integer. Racks whose residual space is greater than or equivalent to d is searched from the racks, so that d servers are configured. If the racks cannot configure d servers, one of the pods is redistributed, so that one rack is vacated, the residual space of the rack is greater than or equivalent to d, and d servers can be configured. If the rack cannot be vacated, redistribution is carried out on another pod, a position of a corresponding server of the corresponding rack in the pod is vacated, so that residual space of the corresponding server position is greater than or equivalent to d to configure d servers.

Description

technical field [0001] The present invention relates to a method for planning server resources, and in particular to a method for dynamically planning server resources in a data center. Background technique [0002] In order to achieve economies of scale and provide tenants with nearly unlimited computing power and storage capacity, existing cloud data centers usually have tens of thousands of servers connected to each other through the network. And only a part of the servers and networks are provided to tenants for rent, so as to provide stable and high-performance cloud services to end users. Under the goal of data center operators to improve resource utilization in order to maximize the benefits of assets, high-efficiency resource planning technology has become a necessary key technology for cloud data centers. [0003] The cloud services built by each data center for tenants are various and vary in size, and the network bandwidth requirements of individual services are ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
Inventor 蔡林峻廖婉君
Owner ACER INC
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