Sentence examples for a distributed graph from inspiring English sources

In this work, we propose a distributed graph processing framework called Distributed Partitioned Merge (DPM), which supports both types of algorithms and we compare its performance and resource usage w.r.t.

This is previously argued by authors in [6], who show that a UE-centric solution will be optimal in terms of both outage probability as well as throughput (so called good-put), although they only discuss it from a clustering perspective but propose to extend their work with a distributed graph coloring scheme for the resource assignment.

The authors used OrientDB, a distributed graph NoSQL database (http://www.orientechnologies.com/).

For all distributed graph-processing systems, partitioning graphs is a key part of processing and an important aspect to achieve good processing performance.

Vertex-cut method is a graph partitioning technique for distributed graph processing; it divides a graph into multiple partitions by replicating cross-cluster vertexes, and it assigns each partition to each computer in the distributed computation environment.

Dgraph is an increasingly popular open-source distributed graph database that uses a version of Facebook's GraphQL as its default query language.

There is a significant body of work on distributed graph databases [9, 20, 23].

In our proposed method, we modify Eq. (5) for finding balanced-size partitions for efficient distributed graph processing; we introduce a new term for balancing the partitioning size [8] into Eq. (5).

Distance-based query over distributed graph Employing landmarks to approximate the shortest path distance is a widely adopted technique [17, 25, 27].

To describe the workflow in a GUI environment, the user can use any of the available and freely distributed graph design software tools that supports exporting to GraphML.

We also consider the completeness and complexity of DBA for distributed graph coloring.