You are in : Home » Results & submissions » Select UOA » 11 - Computer Science and Informatics » View submission: University of St Andrews » Outputs » Detail

Output details

11 - Computer Science and Informatics

University of St Andrews

Return to search Previous output Next output

Output 47 of 83 in the submission

Output title

Minimizing Execution Costs when Using Globally Distributed Cloud Services

Type

E - Conference contribution

DOI

10.1109/AINA.2010.30

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

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

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract