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Polygraph: A Plug-n-Play Framework to Quantify Application Anomalies

delete2019-01-01
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PRE
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Yazeed Alabdulkarim *
S
Shahram Ghandeharizadeh
DOI:10.1109/TKDE.2019.2939520delete
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摘要

摘要

En 中文
Polygraph is a tool to quantify application anomalies attributed to violating atomicity, isolation, and linearizability properties of transactions. It is a plug-n-play framework that includes visualization tools to empower an experimentalist to (a) quickly incorporate Polygraph into an existing application or benchmark and (b) quantify the number of anomalies. We demonstrate Polygraph using existing benchmarks, including TPC-C, SEATS, TATP, YCSB, and BG. We highlight Polygraph as an on-line tool by showing it scales for almost all benchmarks to process their transaction log records faster than their rate of production.
Keyword:
Benchmark testing
Tools
Servers
Real-time systems
Schedules
Plugs
Law
Anomaly
atomicity
isolation
linearizability
consistency
durability
transaction
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期刊

IEEE Transactions on Knowledge and Data Engineering 封面图
IEEE Transactions on Knowledge and Data Engineering
IF:
10.4
论文数:
6.8K
被引数:
3.2W

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