Cloud computing-based memory management method and device

A memory management and cloud computing technology, applied in the computer field, can solve problems such as high waste of resources, increase in user total cost of ownership, and decline in service quality

Inactive Publication Date: 2014-10-15
INSPUR BEIJING ELECTRONICS INFORMATION IND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Obviously, the current resource allocation model has a high degree of resource waste, which increases the user's total cost of ownership (TCO)
However, staticall...

Method used

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  • Cloud computing-based memory management method and device
  • Cloud computing-based memory management method and device
  • Cloud computing-based memory management method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Embodiment 1. A memory management method based on cloud computing, comprising:

[0030] Expand the local physical address space by using the logical extension address space;

[0031] Use the global extended address space to record the remote free memory used locally;

[0032] The bidirectional mapping between the global extended address space and the logical extended address space is performed according to a predetermined rule.

[0033] In order to utilize free memory resources distributed on each physical server of the entire platform, this embodiment introduces a distributed memory pool composed of two-layer address space mapping in consideration of the characteristics of the distributed platform. The construction of the double-layer address space takes into account both efficiency and reliability, and provides the greatest degree of abstraction of memory resources. Such as figure 1 As shown, in each node (node ​​1, node 2, ..., node n) in the cloud computing platf...

Embodiment 2

[0055] Embodiment 2. A memory management device based on cloud computing, which is applied to a cloud computing platform, such as Figure 5 shown, including:

[0056] The virtual machine monitor is used to expand the local physical address space by using the logically extended address space;

[0057] The console is used to record the remote free memory used locally by using the global extended address space;

[0058] The address mapping module is configured to perform bidirectional mapping between the global extended address space and the logical extended address space according to predetermined rules.

[0059] In this embodiment, the address mapping module can also be integrated in the console as an address mapping component (such as Figure 5 shown); the memory space of the virtual machine comes not only from the local memory, but also from the remote free memory mapped by the logical extended address space through the global extended address space; the local memory can al...

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Abstract

The invention provides a cloud computing-based memory management method and device which is applied to a cloud computing platform. The method includes adopting logical extension address space to extend local physical address space; adopting global extension address space to record a remote free memory which is available locally; and according to predetermined rules, subjecting the global extension address space and the logical extension address space to bidirectional mapping. By the cloud computing-based memory management method and device, utilization of memory resources in the cloud computing is optimized.

Description

technical field [0001] The present invention relates to the field of computers, in particular to a memory management method and device based on cloud computing. Background technique [0002] The rise of cloud computing is gradually changing the entire computer industry and academia. This way of using computers as a utility tool and software as a service has brought new challenges to both computer software and hardware design. huge challenge. In terms of software construction and distribution methods, SOA (Service-Oriented Software Architecture) and SaaS (Software as a Service) are increasingly becoming the core methods of software construction and distribution under the cloud computing model. As for the underlying computing infrastructure that supports the operation of services, the challenges mainly focus on two aspects: system software and hardware. Among them, adaptive resource allocation is the biggest challenge faced by system software, and how to allocate resources i...

Claims

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Application Information

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IPC IPC(8): G06F3/06G06F12/08H04L29/08G06F12/0868
Inventor 侯德龙
Owner INSPUR BEIJING ELECTRONICS INFORMATION IND
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