Title :
Application-aware latency monitoring for cloud tenants via CloudWatch+
Author :
Dapeng Liu ; Dan Pei ; Youjian Zhao
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
A tenant hosted by a cloud platform typically runs a lot of applications, each of which not only has its own service capacity but also differs in revenue or business importance. Thus we argue that it is crucial for a cloud platform to provide fine-grained and application-aware performance monitoring for each tenant, rather than current monitors that can only handle overall metrics. In this paper, we propose CloudWatch+, a tool that focuses on detecting the latency of web-based applications. A cloud platform equipping with CloudWatch+ can automatically learn and distinguish web-based applications it is hosting, and detect latency anomalies for each application based on its own status. Our evaluation using the real data from a cloud platform with over 200 tenants demonstrates that the detection results of CloudWatch+ are more detailed than those of Amazon CloudWatch, which misses most alarms while some tenants´ specific applications experience bad performance. Meanwhile, CloudWatch+ is also realtime and light-weight.
Keywords :
cloud computing; Amazon CloudWatch; CloudWatch+ tool; Web-based applications; application-aware latency monitoring; application-aware performance monitoring; cloud platform; cloud tenants; Cloud computing; Clustering algorithms; Conferences; Measurement; Merging; Monitoring; Uniform resource locators;
Conference_Titel :
Network and Service Management (CNSM), 2014 10th International Conference on
Conference_Location :
Rio de Janeiro
DOI :
10.1109/CNSM.2014.7014143