DocumentCode
1708565
Title
MSSF: User-Friendly Multi-cloud Data Dispersal
Author
Libardi, Rafael M. de O. ; Reiff-Marganiec, Stephan ; Nunes, Luiz Henrique ; Adami, Lucas J. ; Ferreira, Carlos H. G. ; Estrella, Julio C.
Author_Institution
Univ. of Sao Paulo, Sao Carlos, Brazil
fYear
2015
Firstpage
341
Lastpage
348
Abstract
Using a multi-cloud storage solution requires a user to make complex decisions. Making these decisions can be a problem for regular users who are not familiar with multi-cloud storage. We propose MSSF, a Multi-cloud Storage Selection Framework to automatically select a storage dispersal strategy. MSSF formalises the selection process using a knapsack optimisation problem using integer linear programming along with a rule-based system to select a multi-cloud storage strategy that fits the user needs and requires only simple inputs from the user. Our experiments show the performance and usability aspects of our solution, making it useful in real environments.
Keywords
cloud computing; integer programming; knapsack problems; linear programming; storage management; MSSF; integer linear programming; knapsack optimisation problem; multi-cloud storage selection framework; rule-based system; user-friendly multicloud data dispersal; Bandwidth; Cloud computing; Encryption; Mathematical model; Measurement; Optimization; Quality of service; Cloud Storage; Cloud services; Dispersion algorithms; Multi-cloud selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
Conference_Location
New York City, NY
Print_ISBN
978-1-4673-7286-2
Type
conf
DOI
10.1109/CLOUD.2015.53
Filename
7214063
Link To Document