Dithen: A Computation-as-a-Service Cloud Platform For Large-Scale Multimedia Processing
- Submitting institution
-
Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 521
- Type
- D - Journal article
- DOI
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10.1109/tcc.2016.2617363
- Title of journal
- IEEE Transactions on Cloud Computing
- Article number
- -
- First page
- 1
- Volume
- 7
- Issue
- 2
- ISSN
- 2168-7161
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper outlines a cloud-based system for foot printing batch workloads and then scaling the computation resources of the cloud to complete the workload in timely fashion. The work was kickstarted by an Innnovate grant for the startup Dithen Ltd which the authors founded (https://gtr.ukri.org/projects?ref=131983). This work contributed to further Innovate awards of £0.3 million and £0.28 million for the startup Dithen Ltd which the authors founded under the project titles of DELVE-VIDEO (https://gtr.ukri.org/projects?ref=132739 , 2017) and QUEMAT (https://gtr.ukri.org/projects?ref=104408, 2018). The work also contributed to Doyle being one of thirteen national researcher being awarded an RSE Cloud Fellowship https://www.software.ac.uk/rse-cloud-awardees.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
