Towards Hybrid Multi-Cloud Storage Systems: Understanding How to Perform Data Transfer

被引：21

作者：

Celesti, Antonio ^{[1
,2
]}

Galletta, Antonino ^{[1
]}

Fazio, Maria ^{[1
]}

Villari, Massimo ^{[1
]}

机构：

[1] Univ Messina, MIFT, Viale F Stagno dAlcontres, I-98166 Messina, Italy

[2] CINI, BIG DATA Lab, Via Volturno 58, I-00185 Rome, Italy

来源：

BIG DATA RESEARCH | 2019年 / 16卷

关键词：

Cloud Computing; Multi-Cloud; Storage; Big data; Reliability; Availability;

D O I：

10.1016/j.bdr.2019.02.002

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays, storing and retrieving information over the Cloud is critical for the survival and growth of organizations and people. In this context, the possibility to store a huge amount of data and files on remote third-party Cloud storage providers is becoming an even more concrete practice. Unfortunately, there is not any guarantee regarding data availability and reliability of such providers. In such a context, if the Cloud wants to use the storage as a service of another Cloud, it has only to trust it. A possible solution consists of using a Multi-Cloud Storage (MCS) system. However, how organizations should compose their own MCS system on geo-distribution basis is not trivial at all. In this paper, we specifically discuss how to optimize the overall system in terms of data storage and retrieval by testing and validating a MCS system composed of three major Cloud Storage providers; Dropbox, Google Drive and Copy. Experiments have proved that the choice of the Cloud storage providers where to store files depends on the data transfer performance according to the file chunk size. In addition, we demonstrated that not always the provider that offers the best performance in upload also offers the best performance in download. (C) 2019 Elsevier Inc. All rights reserved.

引用

页码：1 / 17

页数：17

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