By Ronald Barber, Peter Bendel, Marco Czech (auth.), Malu Castellanos, Umeshwar Dayal, Wolfgang Lehner (eds.)
This publication constitutes the completely refereed convention lawsuits of the fifth overseas Workshop on enterprise Intelligence for the Real-Time firm, BIRTE 2011, held in Seattle, WA, united states, in September 2011, at the side of VLDB 2011, the foreign convention on Very huge information Bases. The sequence of BIRTE workshops goals to supply a discussion board for researchers to debate and improve the foundational technology and engineering required to allow real-time company intelligence in addition to novel purposes and suggestions according to those foundational techniques.The quantity includes 6 learn papers, that have been conscientiously reviewed and chosen from 12 submissions, plus the three keynotes awarded on the workshop. the subjects hide all levels of the company intelligence cycle, together with taking pictures of real-time info, dealing with of temporal or doubtful facts, functionality concerns, occasion administration, and the optimization of advanced ETL workflows.
The quantity includes 6 study papers, which were conscientiously reviewed and chosen from 12 submissions, plus the three keynotes provided on the workshop. the themes conceal all levels of the company intelligence cycle, together with shooting of real-time facts, dealing with of temporal or doubtful information, functionality matters, occasion administration, and the optimization of complicated ETL workflows.
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Extra resources for Enabling Real-Time Business Intelligence: 5th International Workshop, BIRTE 2011, Held at the 37th International Conference on Very Large Databases, VLDB 2011, Seattle, WA, USA, September 2, 2011, Revised Selected Papers
Data structures of main and diﬀerential store regard to inserted values. Second, in order to preserve the ordering within the dictionary, any value v ∈ DD has to be inserted into DM before every u ∈ DM with v < u, hence the value id for each of those u has to be updated — not only in the dictionary but for every entry representing u within the main store column CM , resulting in a complexity of O(| CM | + | CD |) (note that the cost for lookups in the dictionaries can be avoided by creating a mapping between the old and the new dictionary while merging DM and DD ).
DB node only Experiments of Update Queries. The performance comparison of Q3 (a sequential retrieval with update) is given in Fig. 8. 91x. 4000 3500 seconds 3000 2500 DB node only 2000 DB node + MCDs 1500 1000 500 0 25 50 100 200 DB size (tuples in millions) Fig. 8. Query response time comparison: sequential retrieval with update - DCP vs. DB node only The query performance gain with DCP strongly depends on the query workload characteristics. However these early experimental results indicate that there is good potential with DCP-enlarged buffer pool, alghough additional experiments with real application workloads are needed to further validate the applicability of such an architecture.
For our experiments, we configure each of the five systems with a buffer cache size of at least 1/4th of the database size, while varying the database sizes from 50MB to 10GB. In other words in our current experiments we assume that Memcached is big enough to hold the entire database. The database consists of a single table T with 1 million to 200 million tuples, where each tuple is 50 bytes containing 3 attributes: pid, x, and y. The queries tested are listed below. y=y+1; Q1 is a sequential scan, Q2 is an indexed retrieval, and Q3 is a sequential scan with update performed on each tuple.