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Download Database Systems for Advanced Applications: 18th by Zhigang Wang, Yu Gu, Roger Zimmermann, Ge Yu (auth.), Weiyi PDF

By Zhigang Wang, Yu Gu, Roger Zimmermann, Ge Yu (auth.), Weiyi Meng, Ling Feng, Stéphane Bressan, Werner Winiwarter, Wei Song (eds.)

This quantity set LNCS 7825 and LNCS 7826 constitutes the refereed complaints of the 18th overseas convention on Database structures for complicated functions, DASFAA 2013, held in Wuhan, China, in April 2013. The fifty one revised complete papers and 10 brief papers offered including 2 invited keynote talks, 1 invited paper, three commercial papers, nine demo displays, four tutorials and 1 panel paper have been rigorously reviewed and chosen from a complete of 227 submissions. the themes coated partially 1 are social networks; question processing; nearest neighbor seek; index; question research; XML information administration; privateness security; and unsure information administration; and partially 2: graph facts administration; actual layout; wisdom administration; temporal facts administration; social networks; question processing; facts mining; functions; and database applications.

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Extra resources for Database Systems for Advanced Applications: 18th International Conference, DASFAA 2013, Wuhan, China, April 22-25, 2013. Proceedings, Part II

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At worst, the max size of the group is n − 1. Time requirement of walking single step from one group of current tours is O(nD). (Algorithm 2) 2. Walking forward one step to its out-neighbors from a node which is common first node shared by a group of partial tours. At worst, the max size of the group is also n − 1. (Algorithm 3) At each iteration, the time requirement to generate sorted file by merging with the sorted buffer at most is O(nlog2 n). According to above analysis, the cost to obtain tours is O(n2 D) at each iteration.

Especially, for S-LJ, the performance of ASMP is 16% faster than that of ASVU. 3 Evaluation of Data Processing Capacity and Overall Efficiency Compared to Giraph, Hama and Hadoop, the P-SSSP implementation on DiterGraph can be executed over large graphs efficiently with limited resources. First, we set the number of nodes as 10. As shown in Figure 6(a), benefitted from our tunable hash index and ASMP, the running time of DiterGraph is two times faster than that of Giraph. Compared with Hadoop and Hama, the speedup is even 21 to 43.

EBSP Let Mi+1 be the set of messages for the SuperStep ti+1 . At ti , it is possible that s s Mi+1 = φ, Mi+1 ⊆ Mi+1 , if messages are sent asynchronously. When processing s . vertices at ti , the domain of referenced messages is Mi ∪ Mi+1 EBSP will not affect the correctness of P-SSSP. Based on EBSP, we propose a novel technique called Across-step Message Pruning (ASMP) to relieve the phenomena of disseminating redundant messages. Algorithm 2 introduces the processing of one Message Node H k . 1).

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