Randomized load balancing in scalable storage systems

2005 ◽  
Author(s):  
Kun Fu ◽  
Roger Zimmermann
Keyword(s):  
Load Balancing ◽  
Storage Systems ◽  
Scalable Storage ◽  
Randomized Load Balancing ◽  
Scalable Storage Systems

A Survey on Privacy Enhancements for Massively Scalable Storage Systems in Public Cloud Environments

2021 ◽  
pp. 207-223
Author(s):  
Gabriel-Cosmin Apostol ◽  
Luminita Borcea ◽  
Ciprian Dobre ◽  
Constandinos X. Mavromoustakis ◽  
George Mastorakis
Keyword(s):  
Storage Systems ◽  
Public Cloud ◽  
Scalable Storage ◽  
Cloud Environments ◽  
Scalable Storage Systems

scholarly journals Scalable Storage Systems and High-Perfomance Applications

2010 ◽  
Vol 51 (1) ◽  
pp. 1-2
Author(s):  
Jesus Carretero ◽  
J. Daniel Garcia
Keyword(s):  
Storage Systems ◽  
Scalable Storage ◽  
Scalable Storage Systems

scholarly journals The PDE Method for the Analysis of Randomized Load Balancing Networks

2019 ◽  
Vol 46 (1) ◽  
pp. 132-134
Author(s):  
Reza Aghajani ◽  
Xingjie Li ◽  
Kavita Ramanan
Keyword(s):  
Load Balancing ◽  
Randomized Load Balancing ◽  
Pde Method

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.

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