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

Yazeed Alabdulkarim; Marwan Almaymoni; Shahram Ghandeharizadeh; IEEE

doi:10.1109/ICDE.2018.00137

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Conference proceeding

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

Yazeed Alabdulkarim, Marwan Almaymoni, Shahram Ghandeharizadeh and IEEE

2018 IEEE 34th International Conference on Data Engineering (ICDE), pp.1308-1311

04/2018

DOI: https://doi.org/10.1109/ICDE.2018.00137

Abstract

Benchmark testing

Consistency

Databases

Instruction sets

Scalability

Schedules

Serial schedules

Servers

Tools

Transaction processing

Update anomalies

Polygraph is a tool to quantify system behavior that violates serial execution of transactions. It is a plug-n-play framework that operates externally to the system at the conceptual granularity of entities and their relationships.We demonstrate Polygraph's ability to plug-in to existing benchmarks including TPC-C, SEATS, TATP, YCSB, and BG. In addition, we show Polygraph processes transaction log records in realtime and characterize its scalability characteristics.

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Details

Title: Polygraph: A Plug-n-Play Framework to Quantify Anomalies
Creators - without role: Yazeed Alabdulkarim - LAC+USC Medical Center
Marwan Almaymoni - LAC+USC Medical Center
Shahram Ghandeharizadeh - LAC+USC Medical Center
IEEE
Publication Details: 2018 IEEE 34th International Conference on Data Engineering (ICDE), pp.1308-1311
Publisher: IEEE
Identifiers: 9949251408331
Academic Unit: King Saud University
Language: English
Resource Type: Conference proceeding