Characterizing and Modeling the Dropbox Workload

Author

Goncalves, Gil ; Drago, Idilio ; Couto da Silva, Ana Paula ; Almeida, Jussara M. ; Borges Vieira, Alex

Author_Institution

Dept. of Comput. Sci., Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil

fYear

2014

fDate

5-9 May 2014

Firstpage

266

Lastpage

274

Abstract

This paper presents a characterization and modeling of the workload of the currently most popular cloud storage system, Drop box. The workload is analyzed from two complementary perspectives. On one side, characteristics of the Drop box folders of a set of 333 volunteers, including number, type and sizes of files, replication level, and file update dynamics are analyzed. On the other side, the client behavior patterns are modeled based on the analysis of Drop box traffic collected from 3 universities. Our results can be explored to design realistic synthetic workloads, which in turn can support the design and evaluation of more cost-effective cloud storage services.

Keywords

cloud computing; storage management; telecommunication traffic; Dropbox folder; Dropbox traffic analysis; Dropbox workload modelling; client behavior pattern modelling; cloud storage services; cloud storage system; file update dynamics; realistic synthetic workload design; replication level; Cloud computing; Computational modeling; Computer science; Google; IP networks; Portable document format; Dropbox; client; cloud storage; model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Networks and Distributed Systems (SBRC), 2014 Brazilian Symposium on

Conference_Location

Florianopolis

Type

conf

DOI

10.1109/SBRC.2014.32

Filename

6927144