Search  Update Optimization of a B^+Tree in a Hardware Aided Semantic Web Database System

Dennis Heinrich; Stefan Werner; Christopher Blochwitz; Thilo Pionteck; Sven Groppe

doi:10.1007/978-981-10-6520-0_18

Search Update Optimization of a B^+Tree in a Hardware Aided Semantic Web Database System

Dennis Heinrich, Stefan Werner, Christopher Blochwitz, Thilo Pionteck, Sven Groppe

Otto von Guericke University Magdeburg

Abstract

This paper presents a hybrid architecture for accelerating search and update operations on Semantic Web indices. This database system uses a B^+-tree index structure distributed in a Field Programmable Gate Array (FPGA) and a CPU-based host system. The index is divided into two parts. The host system stores the values and the keys of the lower levels of the B^+-tree while a certain amount of the frequently accessed levels including the tree root is stored in the FPGAs internal and attached memory. Inside the FPGA we accelerate search operations by exploiting the parallel nature of the FPGA. By this, update operations can benefit from the speed up of their necessary searches. Furthermore, we estimate the performance based on the given experiments in a worst case scenario.

Original language	English
Title of host publication	Proceedings of the 7th International Conference on Emerging Databases
Editors	Wookey Lee, Wonik Choi, Sungwon Jung, Min Song
Number of pages	11
Place of Publication	Singapore
Publisher	Springer Singapore
Publication date	14.10.2018
Pages	172-182
ISBN (Print)	978-981-10-6519-4
ISBN (Electronic)	978-981-10-6520-0
DOIs	https://doi.org/10.1007/978-981-10-6520-0_18
Publication status	Published - 14.10.2018
Event	7th International Conference on Emerging Databases: Technologies, Applications, and Theory - Busan, Korea, Republic of Duration: 07.08.2017 → 09.08.2017 Conference number: 200819

Research Areas and Centers

Research Area: Intelligent Systems
Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

4.43-03 Security and Dependability, Operating, Communication and Distributed Systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-10-6520-0_18

Cite this

Heinrich, D., Werner, S., Blochwitz, C., Pionteck, T., & Groppe, S. (2018). Search Update Optimization of a B^+Tree in a Hardware Aided Semantic Web Database System. In W. Lee, W. Choi, S. Jung, & M. Song (Eds.), Proceedings of the 7th International Conference on Emerging Databases (pp. 172-182). (Lecture Notes in Electrical Engineering; Vol. 461). Springer Singapore. https://doi.org/10.1007/978-981-10-6520-0_18

Heinrich, Dennis ; Werner, Stefan ; Blochwitz, Christopher et al. / Search Update Optimization of a B^+Tree in a Hardware Aided Semantic Web Database System. Proceedings of the 7th International Conference on Emerging Databases. editor / Wookey Lee ; Wonik Choi ; Sungwon Jung ; Min Song. Singapore : Springer Singapore, 2018. pp. 172-182 (Lecture Notes in Electrical Engineering).

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title = "Search Update Optimization of a B^+Tree in a Hardware Aided Semantic Web Database System",

abstract = "This paper presents a hybrid architecture for accelerating search and update operations on Semantic Web indices. This database system uses a B^+-tree index structure distributed in a Field Programmable Gate Array (FPGA) and a CPU-based host system. The index is divided into two parts. The host system stores the values and the keys of the lower levels of the B^+-tree while a certain amount of the frequently accessed levels including the tree root is stored in the FPGAs internal and attached memory. Inside the FPGA we accelerate search operations by exploiting the parallel nature of the FPGA. By this, update operations can benefit from the speed up of their necessary searches. Furthermore, we estimate the performance based on the given experiments in a worst case scenario.",

author = "Dennis Heinrich and Stefan Werner and Christopher Blochwitz and Thilo Pionteck and Sven Groppe",

year = "2018",

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booktitle = "Proceedings of the 7th International Conference on Emerging Databases",

note = "7th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2017 ; Conference date: 07-08-2017 Through 09-08-2017",

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Heinrich, D, Werner, S, Blochwitz, C, Pionteck, T & Groppe, S 2018, Search Update Optimization of a B^+Tree in a Hardware Aided Semantic Web Database System. in W Lee, W Choi, S Jung & M Song (eds), Proceedings of the 7th International Conference on Emerging Databases. Lecture Notes in Electrical Engineering, vol. 461, Springer Singapore, Singapore, pp. 172-182, 7th International Conference on Emerging Databases: Technologies, Applications, and Theory, Busan, Korea, Republic of, 07.08.17. https://doi.org/10.1007/978-981-10-6520-0_18

Search Update Optimization of a B^+Tree in a Hardware Aided Semantic Web Database System. / Heinrich, Dennis; Werner, Stefan; Blochwitz, Christopher et al.
Proceedings of the 7th International Conference on Emerging Databases. ed. / Wookey Lee; Wonik Choi; Sungwon Jung; Min Song. Singapore: Springer Singapore, 2018. p. 172-182 (Lecture Notes in Electrical Engineering; Vol. 461).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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AB - This paper presents a hybrid architecture for accelerating search and update operations on Semantic Web indices. This database system uses a B^+-tree index structure distributed in a Field Programmable Gate Array (FPGA) and a CPU-based host system. The index is divided into two parts. The host system stores the values and the keys of the lower levels of the B^+-tree while a certain amount of the frequently accessed levels including the tree root is stored in the FPGAs internal and attached memory. Inside the FPGA we accelerate search operations by exploiting the parallel nature of the FPGA. By this, update operations can benefit from the speed up of their necessary searches. Furthermore, we estimate the performance based on the given experiments in a worst case scenario.

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Heinrich D, Werner S, Blochwitz C, Pionteck T, Groppe S. Search Update Optimization of a B^+Tree in a Hardware Aided Semantic Web Database System. In Lee W, Choi W, Jung S, Song M, editors, Proceedings of the 7th International Conference on Emerging Databases. Singapore: Springer Singapore. 2018. p. 172-182. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-10-6520-0_18