[PDF][PDF] Cost-efficient resource provisioning for large-scale graph processing systems in cloud computing environments.
S Heidari - 2018 - minerva-access.unimelb.edu.au
A large amount of data that is being generated on Internet every day is in the form of graphs.
Many services and applications namely as social networks, Internet of Things (IoT), mobile …
Many services and applications namely as social networks, Internet of Things (IoT), mobile …
[PDF][PDF] Provably E cient and Scalable Shared-Memory Graph Processing
L Dhulipala - 2020 - cs.umd.edu
Graph processing is a fundamental tool in many computational disciplines due to the
widespread availability of graph data. However, processing large graphs quickly and cost-e …
widespread availability of graph data. However, processing large graphs quickly and cost-e …
[PDF][PDF] GraphMP: I/O-Efficient big graph analytics on a single commodity machine.(2019)
Recent studies showed that single-machine graph processing systems can be as highly
competitive as cluster-based approaches on large-scale problems. While several out-of-core …
competitive as cluster-based approaches on large-scale problems. While several out-of-core …
In-Memory Big Graph: A Future Research Agenda
With the growth of the inter-connectivity of the world, Big Graph has become a popular
emerging technology. For instance, social media (Facebook, Twitter). Prominent examples …
emerging technology. For instance, social media (Facebook, Twitter). Prominent examples …
Scalable Graph Analysis and Clustering on Commodity Hardware
DN Mhembere - 2019 - jscholarship.library.jhu.edu
The abundance of large-scale datasets both in industry and academia today has lead to a
need for scalable data analysis frameworks and libraries. This assertion is exceedingly …
need for scalable data analysis frameworks and libraries. This assertion is exceedingly …