By Dunren Che, Mejdl Safran, Zhiyong Peng (auth.), Bonghee Hong, Xiaofeng Meng, Lei Chen, Werner Winiwarter, Wei Song (eds.)
This booklet constitutes the workshop lawsuits of the 18th foreign convention on Database structures for complicated purposes, DASFAA 2013, held in Wuhan, China, in April 2013. the amount includes 3 workshops, each one concentrating on particular region that contributes to the most subject matters of the DASFAA convention: the 1st overseas Workshop on huge information administration and Analytics (BDMA 2013), the 3rd overseas Workshop on Social Networks and Social internet (SNSM 2013) and the foreign Workshop on Semantic Computing and Personalization (SeCoP 2013).
Read Online or Download Database Systems for Advanced Applications: 18th International Conference, DASFAA 2013, International Workshops: BDMA, SNSM, SeCoP, Wuhan, China, April 22-25, 2013. Proceedings PDF
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Extra info for Database Systems for Advanced Applications: 18th International Conference, DASFAA 2013, International Workshops: BDMA, SNSM, SeCoP, Wuhan, China, April 22-25, 2013. Proceedings
31–45, 2013. © Springer-Verlag Berlin Heidelberg 2013 32 Y. Bao et al. information keeps increasing rapidly, which leads to the scale of graphs larger and larger. The number may be even high in social network. Such as Facebook, the largest scale social network has about 700 million users. For search engines, such as Google and Baidu, it is necessary to evaluate web pages importance by related algorithms. The most famous one is PageRank algorithm. We can define a web page as a node in a link graph and the link between two pages is regarded as an edge with direction.
Estimated cost values are slightly under-predicted or over-predicted compared to the actual values. This can be attributed to several reasons. 1 that the data are uniformly distributed. However, in practice this is not always the case. Thus, during the 28 A. Brighen et al. Fig. 4. 1. jobs Fig. 5. 1 creation of intermediate ﬁles, the framework adds control data that increase the amount of data read or written. Finally, the experimental results indicate that our theoretical cost model is able to evaluate the execution plan of decision queries in terms of I/O cost in a MapReduce environment with a good approximation.
K,. The cost of storing all MV is given by the following formula: T otalCoststorage (V ) = K i=1 Coststorage (vi ). For computing the access cost of a query in the presence of MV, two scenarios are considered: Scenario 1: The execution of the query q implies the extraction of data for only a view vi by a simple selection operation with aggregation, which corresponds to a single MapReduce job. Map phase ﬁlters data of vi and Reduce phase calculates aggregations and returns the query results to HDFS.