Managing Object Versioning in Geo-Distributed Object Storage Systems

2016 ◽  
Author(s):  
Joao Neto ◽  
Vianney Rancurel ◽  
Vinh Tao
Keyword(s):  
Storage Systems ◽  
Distributed Object ◽  
Object Storage

A Cloud-Aware Distributed Object Storage System to Retrieve Large Data via HTML5-Enabled Web Browsers

2016 ◽  
pp. 25-45 ◽  
Author(s):  
Ahmet Artu Yıldırım ◽  
Dan Watson
Keyword(s):  
High Performance ◽  
Storage Systems ◽  
Storage System ◽  
Large Data ◽  
Web Browsers ◽  
Cloud Infrastructure ◽  
Scalable Storage ◽  
Distributed Object ◽  
Object Storage ◽  
Restful Web Service

Major Internet services are required to process a tremendous amount of data at real time. As we put these services under the magnifying glass, It's seen that distributed object storage systems play an important role at back-end in achieving this success. In this chapter, overall information of the current state-of –the-art storage systems are given which are used for reliable, high performance and scalable storage needs in data centers and cloud. Then, an experimental distributed object storage system (CADOS) is introduced for retrieving large data, such as hundreds of megabytes, efficiently through HTML5-enabled web browsers over big data – terabytes of data – in cloud infrastructure. The objective of the system is to minimize latency and propose a scalable storage system on the cloud using a thin RESTful web service and modern HTML5 capabilities.

A Cloud-Aware Distributed Object Storage System to Retrieve Large Data via HTML5-Enabled Web Browsers

Big Data ◽  
2016 ◽  
pp. 828-847
Author(s):  
Ahmet Artu Yıldırım ◽  
Dan Watson
Keyword(s):  
High Performance ◽  
Storage Systems ◽  
Storage System ◽  
Large Data ◽  
Web Browsers ◽  
Cloud Infrastructure ◽  
Scalable Storage ◽  
Distributed Object ◽  
Object Storage ◽  
Restful Web Service

Major Internet services are required to process a tremendous amount of data at real time. As we put these services under the magnifying glass, it's seen that distributed object storage systems play an important role at back-end in achieving this success. In this chapter, overall information of the current state-of –the-art storage systems are given which are used for reliable, high performance and scalable storage needs in data centers and cloud. Then, an experimental distributed object storage system (CADOS) is introduced for retrieving large data, such as hundreds of megabytes, efficiently through HTML5-enabled web browsers over big data – terabytes of data – in cloud infrastructure. The objective of the system is to minimize latency and propose a scalable storage system on the cloud using a thin RESTful web service and modern HTML5 capabilities.

Understanding the latency distribution of cloud object storage systems

2019 ◽  
Vol 128 ◽  
pp. 71-83
Author(s):  
Yi Su ◽  
Dan Feng ◽  
Yu Hua ◽  
Zhan Shi
Keyword(s):  
Storage Systems ◽  
Latency Distribution ◽  
Object Storage

Backup mainframe data to object storage systems

2019 ◽  
Author(s):  
Gil Peleg ◽  
Offer Baruch ◽  
Dori Polotsky
Keyword(s):  
Storage Systems ◽  
Object Storage

Object Storage Systems Support for Database

2007 ◽  
Author(s):  
Tan Zhipeng ◽  
Feng Dan ◽  
Tu Xudong ◽  
He Fei
Keyword(s):  
Storage Systems ◽  
Object Storage

scholarly journals Impact of data placement on resilience in large-scale object storage systems

2016 ◽  
Author(s):  
Philip Carns ◽  
Kevin Harms ◽  
John Jenkins ◽  
Misbah Mubarak ◽  
Robert Ross ◽  
...  
Keyword(s):  
Large Scale ◽  
Storage Systems ◽  
Data Placement ◽  
Object Storage
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