Resource Monitoring Model in Cloud Computing Based on Dynamic Period and Event-Driven
Resource monitoring in cloud computing environment is a significant part of cloud computing platform for resource management, which provides a basis for resource allocation, task scheduling and load balancing, etc. According to the characteristics of cloud computing resources, this paper put forward...
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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2012-09-01
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Series: | Dianxin kexue |
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Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2012.09.007/ |
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author | Ping Guo Tingying Feng |
author_facet | Ping Guo Tingying Feng |
author_sort | Ping Guo |
collection | DOAJ |
description | Resource monitoring in cloud computing environment is a significant part of cloud computing platform for resource management, which provides a basis for resource allocation, task scheduling and load balancing, etc. According to the characteristics of cloud computing resources, this paper put forward a monitoring model based on dynamic period and event-driven, and it has excellent timeliness, robustness, loose coupling and scalable by combining dynamic period and event-driven monitoring. The model can collect real-time resource monitoring information, and discover the faults of cloud computing environment timely and meet the need of cloud computing platform. |
format | Article |
id | doaj-art-77ebe8f931994cebac910af402e62314 |
institution | Kabale University |
issn | 1000-0801 |
language | zho |
publishDate | 2012-09-01 |
publisher | Beijing Xintong Media Co., Ltd |
record_format | Article |
series | Dianxin kexue |
spelling | doaj-art-77ebe8f931994cebac910af402e623142025-01-15T03:23:26ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012012-09-0128384259630367Resource Monitoring Model in Cloud Computing Based on Dynamic Period and Event-DrivenPing GuoTingying FengResource monitoring in cloud computing environment is a significant part of cloud computing platform for resource management, which provides a basis for resource allocation, task scheduling and load balancing, etc. According to the characteristics of cloud computing resources, this paper put forward a monitoring model based on dynamic period and event-driven, and it has excellent timeliness, robustness, loose coupling and scalable by combining dynamic period and event-driven monitoring. The model can collect real-time resource monitoring information, and discover the faults of cloud computing environment timely and meet the need of cloud computing platform.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2012.09.007/cloud computingresource monitoringdynamic periodevent-driven |
spellingShingle | Ping Guo Tingying Feng Resource Monitoring Model in Cloud Computing Based on Dynamic Period and Event-Driven Dianxin kexue cloud computing resource monitoring dynamic period event-driven |
title | Resource Monitoring Model in Cloud Computing Based on Dynamic Period and Event-Driven |
title_full | Resource Monitoring Model in Cloud Computing Based on Dynamic Period and Event-Driven |
title_fullStr | Resource Monitoring Model in Cloud Computing Based on Dynamic Period and Event-Driven |
title_full_unstemmed | Resource Monitoring Model in Cloud Computing Based on Dynamic Period and Event-Driven |
title_short | Resource Monitoring Model in Cloud Computing Based on Dynamic Period and Event-Driven |
title_sort | resource monitoring model in cloud computing based on dynamic period and event driven |
topic | cloud computing resource monitoring dynamic period event-driven |
url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2012.09.007/ |
work_keys_str_mv | AT pingguo resourcemonitoringmodelincloudcomputingbasedondynamicperiodandeventdriven AT tingyingfeng resourcemonitoringmodelincloudcomputingbasedondynamicperiodandeventdriven |