Using Predictive Monitoring Models in Cloud Computing Systems

被引：1
|
作者：
Kucherova, Kristina [1 ]
Mescheryakov, Serg [1 ]
Shchemelinin, Dmitry [1 ]
机构：
[1] Peter Great St Petersburg Polytech Univ, Polytekhn Skaya 29, St Petersburg 195251, Russia
来源：
DISTRIBUTED COMPUTER AND COMMUNICATION NETWORKS (DCCN 2018) | 2018年 / 919卷
关键词：
Predictive monitoring; Forecast accuracy; Cloud computing; Globally distributed infrastructure; High loaded system; Big data; Database; Disk space utilization; File autogrowth; !text type='Java']Java[!/text] memory leak; Internet applications; Service availability;
D O I：
10.1007/978-3-319-99447-5_29
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Predictive modeling is an important part of the monitoring process in cloud computing systems that helps to improve the service availability for the customers. This paper describes two industrial examples of predictive monitoring models for database disk space utilization and Java memory leaks. Practical recommendations are given to improve the forecast accuracy, which can also be used in the other similar cases. The results of this work are validated in the open source monitoring system and are implemented in three big International telecommunications companies.
引用
收藏
页码：341 / 352
页数：12
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