HyperDB swMATH ID: 2019 Software Authors: Kim, Tae-Kyung; Jung, Seung-Hyun; Kim, Kyoung-Ran; Yoo, Jae-Soo; Cho, Wan-Sup Description: HyperDB: a PC-based database cluster system for efficient OLAP query processing As the overall amount of data increases rapidly in most areas of business, performance of complex OLAP queries used in significant decision-making support has been in decline. To overcome this challenge, most companies invest more in their hardware infrastructure. We propose a high performance database cluster system called HyperDB to solve this performance issue. HyperDB is a virtual database system running on top of internetconnected PCs; the PCs are used for their own purposes at ordinary times, but they are able to participate in a database cluster system during non-office hours. Note that conventional database cluster systems use a static number of tightly-coupled dedicated nodes, and therefore there is almost no such flexibility and extensibility. We propose a logical full replication query routing technique for extensibility and performance. Note that both techniques are known as difficult problems within the conventional database cluster systems. Experiments on the TPC-R benchmark shows significant performance increases compared with conventional approaches Homepage: http://codex.wordpress.org/HyperDB Keywords: database cluster; data warehouse; OLAP; query processing Related Software: Cited in: 1 Document Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year HyperDB: a PC-based database cluster system for efficient OLAP query processing. Zbl 1157.68364Kim, Tae-Kyung; Jung, Seung-Hyun; Kim, Kyoung-Ran; Yoo, Jae-Soo; Cho, Wan-Sup 2007 Cited by 5 Authors 1 Cho, Wan-Sup 1 Jung, Seung-Hyun 1 Kim, Kyoung-Ran 1 Kim, Taekyung 1 Yoo, Jae Soo Cited in 0 Serials Cited in 1 Field 1 Computer science (68-XX) Citations by Year