K-Feed, A Data-Oriented Approach to Application Performance Management in Cloud

被引：3
|
作者：
Zareian, Saeed [1 ]
Veleda, Rodrigo [1 ]
Litoiu, Marin [2 ]
Shtern, Mark [2 ]
Ghanbari, Hamoun [2 ]
Garg, Manish [3 ]
机构：
[1] York Univ, Sch Informat Technol, N York, ON M3J 1P3, Canada
[2] York Univ, Dept Comp Sci, N York, ON M3J 1P3, Canada
[3] IIIT Panta, Patna, Bihar, India
来源：
2015 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING | 2015年
关键词：
applications; monitoring; classification; prediction; cloud; MODEL;
D O I：
10.1109/CLOUD.2015.148
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents K-Feed (Knowledge Feed), a platform for real-time application performance analysis and provisioning in the cloud. K-Feed can perform at scale monitoring, analysis, and provisioning of cloud applications. We explain the components, the implementation and the validation of the K-feed platform. To illustrate its feasibility, we use it to monitor and build a performance model of a clustered web application. To model the application, we use off the shelf components.
引用
收藏
页码：1045 / 1048
页数：4
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