Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Volume 371, Issue 1983, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsta.2012.0071
Keywords
text mining; cloud computing; big data
Categories
Funding
- EPSRC/JISC grant [EP/I034092/1]
- Career Acceleration Fellowship from the Engineering and Physical Sciences Research Council [EP/I004327/1]
- Engineering and Physical Sciences Research Council [EP/I034092/1] Funding Source: researchfish
- EPSRC [EP/I034092/1, EP/I004327/1] Funding Source: UKRI
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Cloud computing is increasingly being regarded as a key enabler of the 'democratization of science', because on-demand, highly scalable cloud computing facilities enable researchers anywhere to carry out data-intensive experiments. In the context of natural language processing (NLP), algorithms tend to be complex, which makes their parallelization and deployment on cloud platforms a non-trivial task. This study presents a new, unique, cloud-based platform for large-scale NLP research-GATECloud. net. It enables researchers to carry out data-intensive NLP experiments by harnessing the vast, on-demand compute power of the Amazon cloud. Important infrastructural issues are dealt with by the platform, completely transparently for the researcher: load balancing, efficient data upload and storage, deployment on the virtual machines, security and fault tolerance. We also include a cost-benefit analysis and usage evaluation.
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