Performance modelling and cost effective execution for distributed graph processing on configurable VMs
Graph Processing has been widely used to capture complex data dependency and uncover
relationship insights. Due to the ever-growing graph scale and algorithm complexity …
relationship insights. Due to the ever-growing graph scale and algorithm complexity …
Error resilient infrastructure for data transfer in a distributed neutron detector
In a radiating harsh environment, a distributed neutron sensor needs a robust data transfer
infrastructure, since the latter is exposed to radiations as well as the sensing elements. In …
infrastructure, since the latter is exposed to radiations as well as the sensing elements. In …
[PDF][PDF] Partitioning strategies for load balancing subgraph-centric distributed graph processing
N Choudhury, R Dindokar, A Dixit… - arXiv preprint arXiv …, 2015 - researchgate.net
Distributed graph processing platforms have helped emerging application domains use
commodity clusters and Clouds to analyze large graphs. Vertex-centric programming …
commodity clusters and Clouds to analyze large graphs. Vertex-centric programming …