Proceedings 2003 VLDB Conference: 29th International Conference on Very Large Databases (VLDB)Morgan Kaufmann, 2003 M12 2 - 1050 pages Proceedings of the 29th Annual International Conference on Very Large Data Bases held in Berlin, Germany on September 9-12, 2003. Organized by the VLDB Endowment, VLDB is the premier international conference on database technology. |
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Page 53
... Scalability In order to determine the scalability of XSEarch, we checked how long it takes to create an index for a document D, as a factor of the size of D and the size of the resulting index. Three different types of indices were ...
... Scalability In order to determine the scalability of XSEarch, we checked how long it takes to create an index for a document D, as a factor of the size of D and the size of the resulting index. Three different types of indices were ...
Page 57
... scalability problems, further contributing to loss of data coherency. In situations where the data is to be used for on-line decision making, users specify the bound on the tolerable imprecision associated with each requested data item ...
... scalability problems, further contributing to loss of data coherency. In situations where the data is to be used for on-line decision making, users specify the bound on the tolerable imprecision associated with each requested data item ...
Page 67
... Scalability can be improved by adjusting the coherency requirements of data items [31]. The difference between these approaches and ours is that repositories don't cooperate with one another to maintain coherency. Mechanisms for ...
... Scalability can be improved by adjusting the coherency requirements of data items [31]. The difference between these approaches and ours is that repositories don't cooperate with one another to maintain coherency. Mechanisms for ...
Page 76
... scalability by varying the number of QPTs in the database. The datasets used are SigmodRecord, Shakespears' Play (SSPlay for short) and DBLP whose schemas are SigmodRecord.DTD, SSPlay.DTD and DBLP.DTD. A DTD graph is converted into a ...
... scalability by varying the number of QPTs in the database. The datasets used are SigmodRecord, Shakespears' Play (SSPlay for short) and DBLP whose schemas are SigmodRecord.DTD, SSPlay.DTD and DBLP.DTD. A DTD graph is converted into a ...
Page 77
... Scalability Next, we investigate the impact of the number of transactions (or QPTs) in the database on response time. The number of QPTs ranges from 100,000 to 1 million. Figure 15 shows the results for the DBLP dataset. Fast XMiner has ...
... Scalability Next, we investigate the impact of the number of transactions (or QPTs) in the database on response time. The number of QPTs ranges from 100,000 to 1 million. Figure 15 shows the results for the DBLP dataset. Fast XMiner has ...
Contents
17 | |
31 | |
Part 4 Industrial Sessions | 935 |
Part 5 Panels | 1041 |
Part 6 Demo Sessions | 1051 |
Author Index | 1153 |
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Common terms and phrases
ACM SIGMOD algorithm applications approach attribute average bisimulation bucket buffer cache misses clustering compressed compute Conf constraints contains context nodes corresponding cost Data Bubble data mining data set data stream database systems DBLP defined denote distance distributed edge efficient elements engine estimation evaluation example execution experiments Figure function global graph hash join hash table histograms ICDE implementation input integration interface join join algorithm load matching merge algorithm method micro-clusters MJoin operator optimization output PAC-Man Pagerank parameter partition path expression performance predicate probe problem Proc query optimization query plan query processing ranking relation repository retrieval rithm scalability scan schema Section selection semantics sequence server shows SIGMOD storage stored structure subtree techniques tion tree pattern tuples Unicode update VLDB Web.Views window workload XFDs XML document XML query XPath