Output details
11 - Computer Science and Informatics
University of St Andrews
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Output 0 of 0 in the submission
Output title
Minimizing Execution Costs when Using Globally Distributed Cloud Services
Type
E - Conference contribution
Name of conference/published proceedings
24th IEEE International Conference on Advanced Information Networking and Applications (AINA), 2010
Volume number
-
Issue number
-
First page of article
222
ISSN of proceedings
1550-445X
Year of publication
2010
URL
-
Number of additional authors
3
Additional information
<06>This IEEE AINA 2010 (acceptance rate: 25%) paper presents one of the first solutions to the problem of optimising the cost of transferring data to and from cloud edge servers; this is especially important when executing data-intensive applications in the cloud. This paper presents a completely new and novel approach by formulating a non-linear programming model to minimise the data retrieval, and execution costs of data-intensive workflows in the cloud. Our approach results in an average saving of three-quarters the total cost when compared to Amazon CloudFront’s ‘nearest’ single data source selection algorithm.
Interdisciplinary
-
Cross-referral requested
-
Research group
D - Systems engineering
Citation count
8
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
