MRTree: Functional Testing Based on MapReduce´s Execution Behaviour

Author

Moran, Jesus ; De La Riva, Claudio ; Tuya, Javier

Author_Institution

Dept. of Comput., Univ. of Oviedo, Gijon, Spain

fYear

2014

fDate

27-29 Aug. 2014

Firstpage

379

Lastpage

384

Abstract

MapReduce is a paradigm that allows parallel processing of large amounts of data. MapReduce programs combined with their underlying run-time framework have distinctive features that are prone to include unexpected behaviors not present in other types of programs. This paper describes an approach to functional testing of MapReduce programs based on a hierarchical classification of a number of potential faults that may occur in MapReduce programs over Hadoop. This classification, called MRTree, is then used to derive test cases able to detect the faults represented in MRTree and illustrated with some examples.

Keywords

Big Data; fault diagnosis; parallel processing; pattern classification; program testing; trees (mathematics); Hadoop; MRTree; MapReduce execution behaviour; MapReduce programs; fault detection; functional testing; hierarchical classification; parallel processing; test cases; Big data; Buffer storage; Computers; Fault diagnosis; Programming; Temperature distribution; Testing; Big Data; Hadoop; MapReduce; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Internet of Things and Cloud (FiCloud), 2014 International Conference on

Conference_Location

Barcelona

Type

conf

DOI

10.1109/FiCloud.2014.67

Filename

6984223