Assessing Big Data SQL Frameworks for Analyzing Event Logs

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • QPR Software Plc

Kuvaus

Performing Process Mining by analyzing event logs generated by various systems is a very computation and I/O intensive task. Distributed computing and Big Data processing frameworks make it possible to distribute all kinds of computation tasks to multiple computers instead of performing the whole task in a single computer. This paper assesses whether contemporary structured query language (SQL) supporting Big Data processing frameworks are mature enough to be efficiently used to distribute computation of two central Process Mining tasks to two dissimilar clusters of computers providing BPM as a service in the cloud. Tests are performed by using a novel automatic testing framework detailed in this paper and its supporting materials. As a result, an assessment is made on how well selected Big Data processing frameworks manage to process and to parallelize the analysis work required by Process Mining tasks.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoProceedings - 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2016
TilaJulkaistu - 31 maaliskuuta 2016
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaEuromicro International Conference on Parallel, Distributed, and Network-Based Processing - Heraklion, Kreikka
Kesto: 17 helmikuuta 201619 helmikuuta 2016
Konferenssinumero: 24

Conference

ConferenceEuromicro International Conference on Parallel, Distributed, and Network-Based Processing
LyhennettäPDP
MaaKreikka
KaupunkiHeraklion
Ajanjakso17/02/201619/02/2016

ID: 2548969