Database Systems for Adanced Applications: 16th by Lei Chen (auth.), Jianliang Xu, Ge Yu, Shuigeng Zhou, Rainer

International

By Lei Chen (auth.), Jianliang Xu, Ge Yu, Shuigeng Zhou, Rainer Unland (eds.)

This booklet constitutes the workshop complaints of the sixteenth overseas convention on Database platforms for complex purposes, DASFAA 2011, held in Hong Kong, China, in April 2011.
The quantity comprises six workshops, each one targeting particular examine concerns that give a contribution to the most topics of the DASFAA convention: the 1st foreign Workshop on Graph-structured info Bases (GDB 2011); the 1st overseas Workshop on Spatial details Modeling, administration and Mining (SIM3 2011); the overseas Workshop on Flash-based Database structures (FlashDB 2011); the second one overseas Workshop on Social Networks and Social Media Mining on the net (SNSMW 2011); the 1st overseas Workshop on facts administration for rising community Infrastructures (DaMEN 2011); and the Fourth foreign Workshop on information caliber in Integration platforms (DQIS 2011).

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Additional resources for Database Systems for Adanced Applications: 16th International Conference, DASFAA 2011, International Workshops: GDB, SIM3, FlashDB, SNSMW, DaMEN, DQIS, Hong Kong, China, April 22-25, 2011. Proceedings

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The sum of inter-partition edge weight sums. This aims to avoid CPU underutilization due to network congestion. Reduced network usage can be as high as 90 % [2]. However graph partitioners only optimize for the average case. Even when assuming an optimal partitioning, there always exist queries whose execution causes many network hops. Therefore using a single partitioning may not sufficiently limit network usage of partitioned graph databases. To address this, we show how using overlapping graph partitions may reduce the number of required partition changes for walks in distributed directed readonly graphs.

E. contain very few reuses of the same edge) by trying to avoid picking the same edge twice. This was achieved by setting the weight of a previously encountered edge to 0. Under this scheme, repeated vertex visits may cause ∀e ∈ Ev→ : w(e) = 0 but then edges are chosen completely random with probability pj = |E1→ | . Figure 5 v shows the average hop-count for the generated walks. 3 Experimental Results Figure 6 depicts the relative impact of FFS on the number of remote hops. Results show that this impact is highly graph-dependent.

GJH $%! $&! $'! $(! $)! $*! 6SOLW *UDSK6HW * * * ** * * * *  * * * * * * * *  * * * * ** *  '(! %(! %*! &*! &)! ')! 6SOLW * * * ** * * * * * * * ** * * * *  * * * ** * * * * Map Output/ Reduce Input * * *  Reduce Output **  * * *  Fig. 5. Evaluating graph sets intersection The second MapReduce job performs a series of set intersection operations to generate the final query results.

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