HyCloud: Tweaking Hybrid Cloud Storage Services for Cost-Efficient Filesystem Hosting

2020 ◽  
Vol 28 (6) ◽  
pp. 2629-2642
Author(s):  
Jinlong E ◽  
Yong Cui ◽  
Zhenhua Li ◽  
Mingkang Ruan ◽  
Ennan Zhai
2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Siti Amalia Nazihah Surosa ◽  
Iskandar Fitri ◽  
Novi Dian Nathasia

2021 ◽  
Vol 13 (7) ◽  
pp. 181
Author(s):  
Agil Yolchuyev ◽  
Janos Levendovszky

“Hybrid Cloud Storage” (HCS) is a widely adopted framework that combines the functionality of public and private cloud storage models to provide storage services. This kind of storage is especially ideal for organizations that seek to reduce the cost of their storage infrastructure with the use of “Public Cloud Storage” as a backend to on-premises primary storage. Despite the higher performance, the hybrid cloud has latency issues, related to the distance and bandwidth of the public storage, which may cause a significant drop in the performance of the storage systems during data transfer. This issue can become a major problem when one or more private storage nodes fail. In this paper, we propose a new framework for optimizing the data uploading process that is currently used with hybrid cloud storage systems. The optimization is concerned with spreading the data over the multiple storages in the HCS system according to some predefined objective functions. Furthermore, we also used Network Coding technics for minimizing data transfer latency between the receiver (private storages) and transmitter nodes.


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