By Christian Bizer (auth.), Alvaro A. A. Fernandes, Alasdair J. G. Gray, Khalid Belhajjame (eds.)
This booklet constitutes the completely refereed post-conference court cases of the twenty eighth British nationwide convention on Databases, BNCOD 28, held in Manchester, united kingdom, in July 2011. The thirteen revised complete papers, 2 brief papers, 2 demo papers and 1 poster paper awarded including the abstracts of two keynote talks and 1 educational paper have been rigorously reviewed and chosen from forty four submissions. The papers disguise a variety of issues equivalent to XML compression, XML updates, column-oriented shops, provenance, warehousing, streamed info, facts mashups, dataspaces, sensor community question processing, and pattern-oriented search.
Read or Download Advances in Databases: 28th British National Conference on Databases, BNCOD 28, Manchester, UK, July 12-14, 2011, Revised Selected Papers PDF
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Additional info for Advances in Databases: 28th British National Conference on Databases, BNCOD 28, Manchester, UK, July 12-14, 2011, Revised Selected Papers
An ordered read-optimized column is initialized as a sorted array, whereas an unordered write-optimized column is initialized as a heap array. ECOS enforces that each storage structure should be atomic and should be directly accessible using an access API. The reason for this approach is that small storage structures consume less memory and generate reduced binary size for small data management . If we can use them directly, then there is no reason to use them as part of complex storage structures1 , such as 1 We use storage structure as a common term for both data storage structure and index storage structure.
Furthermore, we present four possible variations to standard 2-copy DSM to reduce its high storage requirement. We evaluated ECOS empirically using the custom micro benchmark and our results show that ECOS self-tunes the storage structure while maintaining the required performance. Additionally, it also gives minor performance gains. Furthermore, we propose a mechanism called evolution path to deﬁne the storage structure evolution, which reduces the need for human intervention for long-term database maintenance.
In this paper we focus on one of the most common characteristics, a skewed distribution. Such distributions arise in practice, for example current economic models show that in many markets a select few products are bought with higher frequency . Therefore, in the input stream, the sales transactions related to those products are the most frequent. In MESHJOIN, the algorithm does not consider the frequency of stream tuples, and does not need an index structure on the master data. This can be useful in some circumstances, but still in many other cases one obviously wants to use an index to gain maximum performance.