Title :
Benchmarking data warehouse systems in the cloud
Author_Institution :
LaTICE Lab., Univ. of Tunis, Tunis, Tunisia
Abstract :
The most common benchmarks for cloud computing are the Terasort benchmark and the YCSB benchmark. Although these benchmarks are quite useful, they were not designed for data warehouse systems and related OLAP technologies. In this paper, first, we present cloud computing and data warehouse systems. Then, we argue that TPC-H benchmark - the most prominent benchmark for decision support system, mismatches cloud rationale (scalability, elasticity, pay-per-use, fault-tolerance features) and Customer Relationship Management rationale (enduser satisfaction, Quality of Service features). Finally, we present new requirements for implementing a benchmark for data warehouse systems in the cloud. The proposed requirements should allow a fair comparison of different cloud systems providers´ offerings.
Keywords :
benchmark testing; cloud computing; competitive intelligence; customer relationship management; data mining; data warehouses; decision support systems; software fault tolerance; OLAP technologies; TPC-H benchmark; Terasort benchmark; YCSB benchmark; business intelligence; cloud computing; cloud rationale mismatching; customer relationship management rationale; data warehouse system benchmarking; decision support system; elasticity; enduser satisfaction; fault-tolerance features; pay-per-use; quality-of-service features; scalability; Benchmark testing; Business; Cloud computing; Computational modeling; Data warehouses; Measurement; Benchmark; Cloud; Data Warehouse; OLAP; TPC-H;
Conference_Titel :
Computer Systems and Applications (AICCSA), 2013 ACS International Conference on
Conference_Location :
Ifrane
DOI :
10.1109/AICCSA.2013.6616442