LuoQuan Zheng

dblp:28/1294 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › i/o optimization
disk seek time reduction
0.011996
Speeding up External Mergesort · IEEE Trans. Knowl. Data Eng. 1996
Storage systems › out-of-core computation › external sorting
external mergesort
0.011996
Speeding up External Mergesort · IEEE Trans. Knowl. Data Eng. 1996
Storage systems › out-of-core computation
external sorting
0.011996
Speeding up External Mergesort · IEEE Trans. Knowl. Data Eng. 1996

Methods — techniques the papers use, named apart from their topics

simulation · 0.0
YearPublicationVenuePosition
1996 Speeding up External Mergesort
abstract
External mergesort is normally implemented so that each run is stored continuously on disk and blocks of data are read exactly in the order they are needed during merging. We investigate two ideas for improving the performance of external mergesort: interleaved layout and a new reading strategy. Interleaved layout places blocks from different runs in consecutive disk addresses. This is done in the hope that interleaving will reduce seek overhead during merging. The new reading strategy precomputes the order in which data blocks are to be read according to where they are located on disk and when they are needed for merging. Extra buffer space makes it possible to read blocks in an order that reduces seek overhead, instead of reading them exactly in the order they are needed for merging. A detailed simulation model was used to compare the two layout strategies and three reading strategies. The effects of using multiple work disks were also investigated. We found that, in most cases, interleaved layout does not improve performance, but that the new reading strategy consistently performs better than double buffering and forecasting.
LuoQuan Zheng, Per-Åke Larson
IEEE Trans. Knowl. Data Eng.1