Predicting access to persistent objects through static code analysis

Touma, Rizkallah and Queralt, Anna and Cortés, Toni and Pérez Hernández, María de los Santos (2017). Predicting access to persistent objects through static code analysis. In: "21st European Conference on Advances in Databases and Information Systems", 24-27 Sep 2017, Nicosia, Chipre. pp. 54-62. https://doi.org/10.1007/978-3-319-67162-8_7.

Description

Title: Predicting access to persistent objects through static code analysis
Author/s:
  • Touma, Rizkallah
  • Queralt, Anna
  • Cortés, Toni
  • Pérez Hernández, María de los Santos
Item Type: Presentation at Congress or Conference (Article)
Event Title: 21st European Conference on Advances in Databases and Information Systems
Event Dates: 24-27 Sep 2017
Event Location: Nicosia, Chipre
Title of Book: ADBIS 2017 : Advances in Databases and Information Systems
Date: 2017
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, we present a fully-automatic approach to predict access to persistent objects through static code analysis of objectoriented applications. Previous techniques have been based on monitoring application execution and add a non-negligible overhead to its execution time and/or consume a considerable amount of memory. By contrast, our approach achieves high-accuracy prediction through analysis done prior to executing an application and does not add any overhead. We evaluate the approach and compare it with the most common technique used to predict access to persistent objects. The experimental results indicate that our approach offers better accuracy and makes the predictions with more time in advance.

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020MSCA-ITN-2014-642963BigStorageUnspecifiedBigStorage: Storage-based convergence between HPC and Cloud to handle Big Data
Government of SpainSEV-2015-0493UnspecifiedCentro Nacional de Supercomputación de BarcelonaUnspecified
Government of SpainTIN2015-65316-PUnspecifiedUniversidad Politécnica de CataluñaUnspecified
Government of Spain2014-SGR-1051UnspecifiedUniversidad Politécnica de CataluñaModels de programacio i entorns d'eXecució PARal.lels

More information

Item ID: 50319
DC Identifier: http://oa.upm.es/50319/
OAI Identifier: oai:oa.upm.es:50319
DOI: 10.1007/978-3-319-67162-8_7
Official URL: https://dblp.org/db/conf/adbis/adbis2017
Deposited by: Memoria Investigacion
Deposited on: 05 Jun 2019 09:07
Last Modified: 05 Jun 2019 09:07
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