Model of runtime memory leak detection based on the virtual machine introspection

Virtualization technology has been widely used in the field of cloud computing and data center, and it is an important way to improve reliability of system under the virtual computing environment using runtime memory leak de-tecting to eliminate memory leaks. A model of runtime memory leak detection...

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Main Authors: Ru-liang XIAO, Jun JIANG, You-cong NI, Xin DU, Guo-qing XIE, Sheng-zhen CAI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-08-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.z1.004/
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author Ru-liang XIAO
Jun JIANG
You-cong NI
Xin DU
Guo-qing XIE
Sheng-zhen CAI
author_facet Ru-liang XIAO
Jun JIANG
You-cong NI
Xin DU
Guo-qing XIE
Sheng-zhen CAI
author_sort Ru-liang XIAO
collection DOAJ
description Virtualization technology has been widely used in the field of cloud computing and data center, and it is an important way to improve reliability of system under the virtual computing environment using runtime memory leak de-tecting to eliminate memory leaks. A model of runtime memory leak detection based on the virtual machine introspection and an approach to predication on memory leak were proposed. The prototype system of the model was designed and im-plemented. By analyzing and evaluating effectiveness and performance of the prototype system, the results show that these models and methods can effectively detect memory leaks, and have better performance.
format Article
id doaj-art-f08f1f2d79c54f56acf49b344f78c718
institution Kabale University
issn 1000-436X
language zho
publishDate 2013-08-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-f08f1f2d79c54f56acf49b344f78c7182025-01-14T06:41:45ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-08-0134213059676775Model of runtime memory leak detection based on the virtual machine introspectionRu-liang XIAOJun JIANGYou-cong NIXin DUGuo-qing XIESheng-zhen CAIVirtualization technology has been widely used in the field of cloud computing and data center, and it is an important way to improve reliability of system under the virtual computing environment using runtime memory leak de-tecting to eliminate memory leaks. A model of runtime memory leak detection based on the virtual machine introspection and an approach to predication on memory leak were proposed. The prototype system of the model was designed and im-plemented. By analyzing and evaluating effectiveness and performance of the prototype system, the results show that these models and methods can effectively detect memory leaks, and have better performance.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.z1.004/virtual machineintrospectionmemory leakeffectivenessperformance
spellingShingle Ru-liang XIAO
Jun JIANG
You-cong NI
Xin DU
Guo-qing XIE
Sheng-zhen CAI
Model of runtime memory leak detection based on the virtual machine introspection
Tongxin xuebao
virtual machine
introspection
memory leak
effectiveness
performance
title Model of runtime memory leak detection based on the virtual machine introspection
title_full Model of runtime memory leak detection based on the virtual machine introspection
title_fullStr Model of runtime memory leak detection based on the virtual machine introspection
title_full_unstemmed Model of runtime memory leak detection based on the virtual machine introspection
title_short Model of runtime memory leak detection based on the virtual machine introspection
title_sort model of runtime memory leak detection based on the virtual machine introspection
topic virtual machine
introspection
memory leak
effectiveness
performance
url http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.z1.004/
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AT xindu modelofruntimememoryleakdetectionbasedonthevirtualmachineintrospection
AT guoqingxie modelofruntimememoryleakdetectionbasedonthevirtualmachineintrospection
AT shengzhencai modelofruntimememoryleakdetectionbasedonthevirtualmachineintrospection