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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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2013-08-01
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Series: | Tongxin xuebao |
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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/ |
work_keys_str_mv | AT ruliangxiao modelofruntimememoryleakdetectionbasedonthevirtualmachineintrospection AT junjiang modelofruntimememoryleakdetectionbasedonthevirtualmachineintrospection AT youcongni modelofruntimememoryleakdetectionbasedonthevirtualmachineintrospection AT xindu modelofruntimememoryleakdetectionbasedonthevirtualmachineintrospection AT guoqingxie modelofruntimememoryleakdetectionbasedonthevirtualmachineintrospection AT shengzhencai modelofruntimememoryleakdetectionbasedonthevirtualmachineintrospection |