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Lifo > Les rapports de recherche du LIFO en 2015

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Les rapports de recherche du LIFO en 2015


RR-2015-01 Scalability and Optimisation of GroupBy-Joins in MapReduce
Mohamad Al Hajj Hassan and Mostafa Bamha
Date : 2015-03-18
Résumé Télécharger

RR-2015-02 Over-Approximating Terms Reachable by Context-Sensitive Rewriting
Nirina Andrianarivelo and Pierre Réty
Date : 2015-07-16
Résumé Télécharger

RR-2015-03 Synchronized Tree Languages for Reachability in Non-right-linear Term Rewrite Systems (full version)
Y. Boichut, V. Pelletier and P. Réty
Date : 2015-10-23
Résumé Télécharger


Résumés des rapports de recherche


RR-2015-01 Scalability and Optimisation of GroupBy-Joins in MapReduce
Mohamad Al Hajj Hassan and Mostafa Bamha
Résumé : For over a decade, MapReduce has become the leading programming model for parallel and massive processing of large volumes of data. This has been driven by the development of many engines and frameworks such as Spark, Pig, Hive, facilitating data analysis on large-scale systems. However, these frameworks still remain vulnerable to communication costs, data skew and tasks imbalance problems. This can have a devastating effect on the performance and on the scalability of these systems, more particularly when treating GroupBy-Join queries of large datasets. In this paper, we present a new GroupBy-Join algorithm allowing to reduce communication costs considerably while avoiding data skew effects. A cost analysis of this algorithm shows that our approach is insensitive to data skew and ensures perfect balancing properties during all stages of GroupBy-Join computation even for highly skewed data. These performances have been confirmed by a series of experimentations.
Mot(s) Clé(s) : Join and GroupBy-join operations, Data skew, MapReduce programming model, Distributed file systems, Hadoop framework, Apache Pig Latin

RR-2015-02 Over-Approximating Terms Reachable by Context-Sensitive Rewriting
Nirina Andrianarivelo and Pierre Réty
Résumé : For any left-linear context-sensitive term rewrite system and any regular language of ground terms I, we build a finite tree automaton that recognizes a superset of the descendants of I, i.e. of the terms reachable from I by context-sensitive rewriting.
Mot(s) Clé(s) : context-sensitive rewriting, reachability, tree automaton.

RR-2015-03 Synchronized Tree Languages for Reachability in Non-right-linear Term Rewrite Systems (full version)
Y. Boichut, V. Pelletier and P. Réty
Résumé : Over-approximating the descendants (successors) of an initial set of terms under a rewrite system is used in reachability analysis. The success of such methods depends on the quality of the approximation. Regular approximations (i.e. those using finite tree automata) have been successfully applied to protocol verification and Java program analysis. In KochemsO11,BoichutRTA13, non-regular approximations have been shown more precise than regular ones. In BoichutRTA13Patch (fixed version of BoichutRTA13), we have shown that non-regular sound over-approximations using synchronized tree languages can be computed for left-and-right-linear term rewriting systems (TRS), and not for left-linear ones as claimed initially in BoichutRTA13. In this paper, we present two new contributions extending BoichutRTA13Patch. Firstly, we show how to compute at least all innermost descendants for any left-linear TRS. Secondly, a procedure is introduced for computing over-approximations independently of the applied rewrite strategy for any left-linear TRS.
Mot(s) Clé(s) : tree languages, term rewriting, reachability analysis.