A cloud data center optimization approach using dynamic data interchanges

Rappos, Efstratios (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Robert, Stephan (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Riedi, Rudolf H. (School of Engineering and Architecture (HEIA-FR), HES-SO // University of Applied Sciences Western Switzerland)

Distributed data center architectures have been recently developed for a more efficient and economical storage of data. In many models of distributed storage, the aim is to store the data in such a way so that the storage costs are minimized and increased redundancy requirements are maintained. However, many approaches do not fully consider issues relating to delivering the data to the end user and the associated costs that this creates. We present an integer programming optimization model for determining the optimal allocation of data components among a network of Cloud data servers in such a way that the total costs of additional storage, estimated data retrieval costs and network delay penalties is minimized. The method is suitable for periodic dynamic reconfiguration of the Cloud data servers, so that the when localized data request spikes occur the data can be moved to a closer or cheaper data server for cost reduction and increased efficiency.


Keywords:
Conference Type:
full paper
Faculty:
Ingénierie et Architecture
School:
HEIA-FR
HEIG-VD
Institute:
IICT - Institut des Technologies de l'Information et de la Communication
iSIS - Institut des systèmes intelligents et sécurisés
Publisher:
San Francisco, CA, USA, 11-13 November 2013
Date:
2013-11
San Francisco, CA, USA
11-13 November 2013
Pagination:
5 p.
Published in:
Proceedings of 2013 IEEE 2nd International Conference on Cloud Networking (CloudNet), 11-13 November 2013, San Francisco, CA, USA
DOI:
ISBN:
978-1-4799-0568-3
Appears in Collection:



 Record created 2020-03-31, last modified 2020-10-27

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