DocumentCode :
54497
Title :
Visualizing Request-Flow Comparison to Aid Performance Diagnosis in Distributed Systems
Author :
Sambasivan, Raja R. ; Shafer, Ilari ; Mazurek, Michelle L. ; Ganger, Gregory R.
Volume :
19
Issue :
12
fYear :
2013
fDate :
Dec. 2013
Firstpage :
2466
Lastpage :
2475
Abstract :
Distributed systems are complex to develop and administer, and performance problem diagnosis is particularly challenging. When performance degrades, the problem might be in any of the system´s many components or could be a result of poor interactions among them. Recent research efforts have created tools that automatically localize the problem to a small number of potential culprits, but research is needed to understand what visualization techniques work best for helping distributed systems developers understand and explore their results. This paper compares the relative merits of three well-known visualization approaches (side-by-side, diff, and animation) in the context of presenting the results of one proven automated localization technique called request-flow comparison. Via a 26-person user study, which included real distributed systems developers, we identify the unique benefits that each approach provides for different problem types and usage modes.
Keywords :
computer animation; data visualisation; distributed processing; animation visualization approach; automated localization technique; diff visualization approach; distributed systems; performance diagnosis; request-flow comparison technique; request-flow comparison visualization; side-by-side visualization approach; visualization techniques; Distributed processing; Human factors; Layout; Training; Distributed processing; Distributed systems; Human factors; Layout; Training; human factors; problem diagnosis; visualization; Algorithms; Computer Graphics; Humans; Image Enhancement; Information Storage and Retrieval; Task Performance and Analysis; User-Computer Interface; Visual Perception;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2013.233
Filename :
6634197
Link To Document :
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