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

页码：1045 / 1048

页数：4

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