2016/08/09 by Harsh Thakkar, Mohnish Dubey, Thakkar, Harsh +15
Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Data Quality and Management #Databases (cs.DB) #FOS: Computer and information sciences #Performance (cs.PF) #Semantic Web and Ontologies
paper · pdf · doi:10.48550/arxiv.1608.02800
openalex publication_date 2016/08/09 · openalex created_date 2016/09/23 · openalex updated_date 2026/07/28
Developments in the context of Open, Big, and Linked Data have led to an enormous growth of structured data on the Web. To keep up with the pace of efficient consumption and management of the data at this rate, many data Management solutions have been developed for specific tasks and applications. We present LITMUS, a framework for benchmarking data management solutions. LITMUS goes beyond classical storage benchmarking frameworks by allowing for analysing the performance of frameworks across query languages. In this position paper we present the conceptual architecture of LITMUS as well as the considerations that led to this architecture.