Beehive: A Framework for Graph Data Analytics on Cloud Computing Platforms

Loading...
Thumbnail Image

View/Download File

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Beehive: A Framework for Graph Data Analytics on Cloud Computing Platforms

Published Date

2013-07-24

Publisher

Type

Report

Abstract

We describe here our current work on the development of a programming framework called Beehive for graph data analysis on cloud computing environments. This framework is based on the speculative computing approach using transactional task executions for harnessing amorphous parallelism in graph data analysis problems. We describe here the architecture and the programming abstractions provided by this framework. We present here the results of programming several graph problems using this framework.

Keywords

Description

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Tripathi, Anand; Padhye, Vinit; Sunkara, Tara Sasank. (2013). Beehive: A Framework for Graph Data Analytics on Cloud Computing Platforms. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/215925.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.