Paper Info
Title
P-Tracer: Path-Based Performance Profiling in Cloud Computing Systems
Abstract
In large-scale cloud computing systems, the growing scale and complexity of component interactions pose great challenges for operators to understand the characteristics of system performance. Performance profiling has long been proved to be an effective approach to performance analysis; however, existing approaches do not consider two new requirements that emerge in cloud computing systems. First, the efficiency of the profiling becomes of critical concern; second, visual analytics should be utilized to make profiling results more readable. To address the above two issues, in this paper, we present P-Tracer, an online performance profiling approach specifically tailored for large-scale cloud computing systems. P-Tracer constructs a specific search engine that adopts a proactive way to process performance logs and generates particular indices for fast queries; furthermore, PTracer provides users with a suite of web-based interfaces to query statistical information of all kinds of services, which helps them quickly and intuitively understand system behavior. The approach has been successfully applied in Alibaba Cloud Computing Inc. to conduct online performance profiling both in production clusters and test clusters. Experience with one real-world case demonstrates that P-Tracer can effectively and efficiently help users conduct performance profiling and localize the primary causes of performance anomalies.
Year
DOI
Venue
2012
10.1109/COMPSAC.2012.69
COMPSAC
Keywords
Field
DocType
performance analysis,path-based performance,effective approach,large-scale cloud computing system,system performance,performance profiling,cloud computing systems,online performance,profiling result,performance anomaly,cloud computing system,performance log,data analysis,production,statistical analysis,search engine,search engines,data visualisation,shape,user interfaces,cloud computing,visual analytics
Data mining,Data visualization,Search engine,Suite,Computer science,Profiling (computer programming),Visual analytics,Operator (computer programming),User interface,Cloud computing
Conference
ISSN
Citations 
PageRank 
0730-3157
6
0.55
References 
Authors
11
6
Name
Order
Citations
PageRank
Haibo Mi113412.60
Wang Huaimin21025121.31
Hua Cai3684.58
Yangfan Zhou41467.98
Michael R. Lyu510985529.03
Zhenbang Chen619923.60