Abstract | ||
---|---|---|
This paper presents our solution to 2016 DEBS Grand Challenge. We proposed our original program to efficiently calculate 2 continuous top-k queries on real-time social-network graph data. Our implementation tried to prevent processing of unaffected events by designing the algorithms to efficiently maintain the spare list of candidates of the top-k results. In addition, we improved the efficiency of the state-of-the-art algorithms to speed up the processing of the queries. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1145/2933267.2933510 | DEBS |
Field | DocType | Citations |
Graph,Event based processing,Spare part,Social network,Computer science,Speedup,Distributed computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kamalas Udomlamlert | 1 | 3 | 2.07 |
Cosmas Krisna Adiputra | 2 | 0 | 0.34 |
Takahiro Hara | 3 | 80 | 8.02 |