CN103595773A - System performance optimization method based on cloud desktop - Google Patents
System performance optimization method based on cloud desktop Download PDFInfo
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- CN103595773A CN103595773A CN201310530891.7A CN201310530891A CN103595773A CN 103595773 A CN103595773 A CN 103595773A CN 201310530891 A CN201310530891 A CN 201310530891A CN 103595773 A CN103595773 A CN 103595773A
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Abstract
The invention provides a system performance optimization method based on a cloud desktop. A CPU, a memory, a disk IO and a network IO are monitored when the cloud desktop operates to find bottlenecks affecting performance of the cloud desktop and to accordingly generate cloud desktop system performance optimization strategies, and the system optimization strategies are automatically executed by a cloud desktop task unit to improve the system performance of the cloud desktop, wherein the system optimization strategies comprise the steps that the CPU and the size of the memory are adjusted for the cloud desktop, and the size and storing position of a virtual memory paging file are modified. The system performance optimization method based on the cloud desktop solves the problem that the performance of the cloud desktop is poor when a cloud desktop user uses the cloud desktop.
Description
Technical field
The present invention relates to cloud computing system field, specifically a kind of method of the system function optimization based on cloud desktop.
Background technology
In the flourish epoch of cloud computing, desktop cloud is the important applied field that cloud computing is landed.And the performance of cloud desktop concerns the user of desktop cloud and experiences, it is the important considerations that can desktop cloud large-scale promotion.How to improve the systematic function of cloud desktop, it is had or surpass a kind of difficult problem in face of the performance ,Shi Bai desktop cloud provider of common PC.
The user of cloud desktop experiences many-sided influencing factor: such as the performance of the network bandwidth and flow, desktop cloud agreement and cloud desktop itself.
Traditional computer, can only adopt man-to-man performance optimization method, and increase CPU that can not automation, changes memory size, increases disk etc., to hardware configuration and system setting, all needs user manually to carry out.
Desktop cloud is as an important directions of cloud computing application, and automation deployment and configuration are its characteristics.The automation and intellectuality that in order to realize the performance optimization of cloud desktop, arrange, proposed a kind of system function optimization method based on cloud desktop.
Summary of the invention
A kind of method that the object of this invention is to provide system function optimization based on cloud desktop.
The object of the invention is to realize in the following manner, CPU when cloud desktop is moved, internal memory, disk I/O, the monitoring of network I/O, find out the bottleneck that affects cloud desktop performance, and generate thus cloud desktop system Performance Strategy for Optimizing, by cloud desktop TU task unit, automatically perform system function optimization strategy, be included as cloud desktop and adjust CPU and memory size, revise size and the deposit position of virtual memory paging file, to improve the systematic function of cloud desktop, solve cloud desktop user and use the not good problem of cloud desktop process performance, system configuration comprises: cloud desktop (1), cloud desktop performance monitoring unit (2), cloud desktop Performance Strategy for Optimizing generation unit (3), cloud desktop performance optimization task executing units (4), wherein:
Cloud desktop (1) operates in the virtual machine of data center of desktop cloud provider;
The ruuning situations such as the CPU of the responsible monitoring in cloud desktop performance monitoring unit (2) cloud desktop, internal memory, disk, network, find out the bottleneck factor that restricts cloud desktop performance;
Cloud desktop Performance Strategy for Optimizing generation unit (3) generates corresponding Performance Strategy for Optimizing according to the monitored results of cloud desktop performance monitoring unit (2), and triggers cloud desktop performance optimization task executing units (4) and carry out cloud desktop system Performance Strategy for Optimizing;
Cloud desktop performance optimization task executing units (4) is responsible for carrying out the Performance Strategy for Optimizing that cloud desktop Performance Strategy for Optimizing generation unit (3) generates.
The invention has the beneficial effects as follows: the method for described optimization, cloud desktop (1) is deployed in the virtual machine of desktop cloud data center.
The method of described optimization, cloud desktop (1), can be by network the desktop access protocol access cloud desktop based on certain.
The method of described optimization, the run time behaviour situations such as the CPU of cloud desktop performance monitoring unit (2) monitoring cloud desktop, internal memory, network, disk, and find out the factor that affects cloud desktop performance.
The method of described optimization, cloud desktop Performance Strategy for Optimizing generation unit (3), according to the performance analysis data of cloud desktop performance monitoring unit (2), generate different Performance Strategy for Optimizings, and trigger cloud desktop performance optimization task executing units (4) performance optimization strategy;
The method of described optimization, cloud desktop performance optimization task executing units (4) can be optimized according to the Performance Strategy for Optimizing of cloud desktop Performance Strategy for Optimizing generation unit (3) systematic function of cloud desktop.
Accompanying drawing explanation
Fig. 1 is that conventional computer system is optimized schematic diagram;
Fig. 2 is the system function optimization schematic diagram based on cloud desktop.
Embodiment
With reference to Figure of description, method of the present invention is described in detail below.
CPU when cloud desktop is moved, internal memory, disk I/O, the monitoring of network I/O, find out the bottleneck that affects cloud desktop performance, and generate thus cloud desktop system Performance Strategy for Optimizing, by cloud desktop TU task unit, automatically perform system function optimization strategy, be included as cloud desktop and adjust CPU and memory size, revise size and the deposit position of virtual memory paging file, to improve the systematic function of cloud desktop, solve cloud desktop user and use the not good problem of cloud desktop process performance, system configuration comprises: cloud desktop (1), cloud desktop performance monitoring unit (2), cloud desktop Performance Strategy for Optimizing generation unit (3), cloud desktop performance optimization task executing units (4), wherein:
Cloud desktop (1) operates in the virtual machine of data center of desktop cloud provider;
The ruuning situations such as the CPU of the responsible monitoring in cloud desktop performance monitoring unit (2) cloud desktop, internal memory, disk, network, find out the bottleneck factor that restricts cloud desktop performance;
Cloud desktop Performance Strategy for Optimizing generation unit (3) generates corresponding Performance Strategy for Optimizing according to the monitored results of cloud desktop performance monitoring unit (2), and triggers cloud desktop performance optimization task executing units (4) and carry out cloud desktop system Performance Strategy for Optimizing;
Cloud desktop performance optimization task executing units (4) is responsible for carrying out the Performance Strategy for Optimizing that cloud desktop Performance Strategy for Optimizing generation unit (3) generates.
Except the technical characterictic described in specification, be the known technology of those skilled in the art.
Claims (6)
1. the method for the system function optimization based on cloud desktop, it is characterized in that CPU when cloud desktop is moved, internal memory, disk I/O, the monitoring of network I/O, find out the bottleneck that affects cloud desktop performance, and generate thus cloud desktop system Performance Strategy for Optimizing, by cloud desktop TU task unit, automatically perform system function optimization strategy, be included as cloud desktop and adjust CPU and memory size, revise size and the deposit position of virtual memory paging file, to improve the systematic function of cloud desktop, solve cloud desktop user and use the not good problem of cloud desktop process performance, system configuration comprises: cloud desktop (1), cloud desktop performance monitoring unit (2), cloud desktop Performance Strategy for Optimizing generation unit (3), cloud desktop performance optimization task executing units (4), wherein:
Cloud desktop (1) operates in the virtual machine of data center of desktop cloud provider;
The ruuning situations such as the CPU of the responsible monitoring in cloud desktop performance monitoring unit (2) cloud desktop, internal memory, disk, network, find out the bottleneck factor that restricts cloud desktop performance;
Cloud desktop Performance Strategy for Optimizing generation unit (3) generates corresponding Performance Strategy for Optimizing according to the monitored results of cloud desktop performance monitoring unit (2), and triggers cloud desktop performance optimization task executing units (4) and carry out cloud desktop system Performance Strategy for Optimizing;
Cloud desktop performance optimization task executing units (4) is responsible for carrying out the Performance Strategy for Optimizing that cloud desktop Performance Strategy for Optimizing generation unit (3) generates.
2. the method for a kind of system function optimization based on cloud desktop according to claim 1, cloud desktop (1) is characterized in that: cloud desktop is the virtual machine that is deployed in desktop cloud data center.
3. the method for a kind of system function optimization based on cloud desktop according to claim 1, cloud desktop (1), is characterized in that: can be by network the desktop access protocol access cloud desktop based on certain.
4. the method for a kind of system function optimization based on cloud desktop according to claim 1, cloud desktop performance monitoring unit (2), it is characterized in that: the run time behaviour situations such as the CPU of monitoring cloud desktop, internal memory, network, disk, and find out the factor that affects cloud desktop performance.
5. the method for a kind of system function optimization based on cloud desktop according to claim 1, cloud desktop Performance Strategy for Optimizing generation unit (3), it is characterized in that: according to the performance analysis data of cloud desktop performance monitoring unit (2), generate different Performance Strategy for Optimizings, and trigger cloud desktop performance optimization task executing units (4) performance optimization strategy.
6. the method for a kind of system function optimization based on cloud desktop according to claim 1, cloud desktop performance optimization task executing units (4), is characterized in that: can optimize according to the Performance Strategy for Optimizing of cloud desktop Performance Strategy for Optimizing generation unit (3) systematic function of cloud desktop.
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Cited By (8)
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---|---|---|---|---|
CN103873380A (en) * | 2014-02-24 | 2014-06-18 | 华为技术有限公司 | Method, device and system for adjusting data distribution strategy |
CN104951308A (en) * | 2015-06-30 | 2015-09-30 | 北京奇虎科技有限公司 | Docker Registry management optimization mode and device |
CN106203109A (en) * | 2016-06-29 | 2016-12-07 | 北京金山安全软件有限公司 | Safety protection processing method and device and electronic equipment |
CN107346281A (en) * | 2017-07-05 | 2017-11-14 | 中国人民大学 | A kind of big data System Performance Analysis method based on resource decoupling |
CN108804189A (en) * | 2018-06-01 | 2018-11-13 | 成都雨云科技有限公司 | A kind of cloud desktop management method and system |
CN109240806A (en) * | 2018-10-19 | 2019-01-18 | 南京机敏软件科技有限公司 | Cloud desktop resource intelligent method of adjustment and virtual machine, adjustment system |
CN109491782A (en) * | 2017-09-11 | 2019-03-19 | 中兴通讯股份有限公司 | A kind of method and device of cloud desktop intelligent management |
CN114077469A (en) * | 2020-08-19 | 2022-02-22 | 中国电信股份有限公司 | Method, system and apparatus for optimizing virtual desktop management |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100070784A1 (en) * | 2008-09-15 | 2010-03-18 | Vmware, Inc. | Reducing Power Consumption in a Server Cluster |
CN102262557A (en) * | 2010-05-25 | 2011-11-30 | 运软网络科技(上海)有限公司 | Method for constructing virtual machine monitor by bus architecture and performance service framework |
CN102759984A (en) * | 2012-06-13 | 2012-10-31 | 上海交通大学 | Power supply and performance management system for virtualization server cluster |
-
2013
- 2013-11-01 CN CN201310530891.7A patent/CN103595773A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100070784A1 (en) * | 2008-09-15 | 2010-03-18 | Vmware, Inc. | Reducing Power Consumption in a Server Cluster |
CN102262557A (en) * | 2010-05-25 | 2011-11-30 | 运软网络科技(上海)有限公司 | Method for constructing virtual machine monitor by bus architecture and performance service framework |
CN102759984A (en) * | 2012-06-13 | 2012-10-31 | 上海交通大学 | Power supply and performance management system for virtualization server cluster |
Cited By (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103873380A (en) * | 2014-02-24 | 2014-06-18 | 华为技术有限公司 | Method, device and system for adjusting data distribution strategy |
CN103873380B (en) * | 2014-02-24 | 2017-10-24 | 华为技术有限公司 | A kind of method of adjustment of data distribution strategy, apparatus and system |
CN104951308B (en) * | 2015-06-30 | 2019-05-21 | 北京奇虎科技有限公司 | The management optimization mode and device of Docker Registry |
CN104951308A (en) * | 2015-06-30 | 2015-09-30 | 北京奇虎科技有限公司 | Docker Registry management optimization mode and device |
CN106203109B (en) * | 2016-06-29 | 2019-08-27 | 珠海豹趣科技有限公司 | A kind of safe protection treatment method, apparatus and electronic equipment |
CN106203109A (en) * | 2016-06-29 | 2016-12-07 | 北京金山安全软件有限公司 | Safety protection processing method and device and electronic equipment |
CN107346281A (en) * | 2017-07-05 | 2017-11-14 | 中国人民大学 | A kind of big data System Performance Analysis method based on resource decoupling |
CN109491782A (en) * | 2017-09-11 | 2019-03-19 | 中兴通讯股份有限公司 | A kind of method and device of cloud desktop intelligent management |
CN109491782B (en) * | 2017-09-11 | 2023-07-18 | 中兴通讯股份有限公司 | Cloud desktop intelligent management method and device |
CN108804189A (en) * | 2018-06-01 | 2018-11-13 | 成都雨云科技有限公司 | A kind of cloud desktop management method and system |
CN108804189B (en) * | 2018-06-01 | 2023-07-28 | 成都雨云科技有限公司 | Cloud desktop management method and system |
CN109240806A (en) * | 2018-10-19 | 2019-01-18 | 南京机敏软件科技有限公司 | Cloud desktop resource intelligent method of adjustment and virtual machine, adjustment system |
CN114077469A (en) * | 2020-08-19 | 2022-02-22 | 中国电信股份有限公司 | Method, system and apparatus for optimizing virtual desktop management |
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