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Open Journal of Databases
Open Journal of Databases (OJDB) provides a platform for researchers and practitioners of databases to share their ideas, experiences and research results. OJDB publishes following four types of scientific articles: Short communications: reporting novel research ideas. The work represented should be technically sound and significantly advancing the state of the art. Short communications also include exploratory studies and methodological articles.Regular research papers: being full original findings with adequate experimental research. OJDB welcomes scientific papers in all the traditional and emerging areas of database research. Topics relevant to this journal include, but are NOT limited to:
Using set cover algorithm to optimize query latency for a large scale distributed graph
Social networks often require the ability to perform low latency graph computations in the user request path. For example, at LinkedIn, we show the graph distance and common connections whenever we show a profile on the site. To do this, we have developed a distributed and partitioned graph system that scales to hundreds of millions of members and their connections and handles hundreds of thousands of queries per second. We published a paper in the HotCloud'13 Conference, June 2013 that describes one of the techniques we use to keep latencies low: Using Set Cover to Optimize a Large-Scale Low Latency Distributed Graph In this post, I'll describe the greedy set cover algorithm we developed and how it reduces latencies for more than half the queries in our real-time distributed graph infrastructure. Overview of Query Routing LinkedIn's distributed graph system consists of three major subcomponents: GraphDB: a partitioned and replicated graph database. Graph Architecture Distance Icons
maxdemarzi/neography
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