MS scheduler: New, scalable, and high-performance sparse AVX-2 parity encoding and decoding technique for erasure-coded cloud storage systems

2021 ◽  
Author(s):  
Mehdi Pirahandeh ◽  
Deok-Hwan Kim
Keyword(s):  
Cloud Storage ◽  
High Performance ◽  
Storage Systems

A Study on the Key Issues of Cloud Storage Technology

2010 ◽  
Vol 29-32 ◽  
pp. 1122-1126
Author(s):  
Zhong Lin He ◽  
Yu Hua He ◽  
Li Yu Chen
Keyword(s):  
Cloud Storage ◽  
High Performance ◽  
Storage Systems ◽  
Development Trend ◽  
Data Types ◽  
Public And Private ◽  
Cloud Data ◽  
Storage Technology ◽  
Key Issues ◽  
Storage Technologies

The rapid growth of mass data presents a huge demand for storage systems, thus, cloud storage technology is emerging. This paper briefly describes the concept of cloud storage. Combined with the high-performance requirements, the availability, reliability, security and scalability of cloud storage, it focuses on analyzing such key issues of cloud storage like the structure of cloud storage systems, public and private cloud, data types in cloud storage, internal technical resources and the prerequisite for development of cloud storage technologies, at the same time, it makes a conjecture on the development trend of cloud storage technology.

Analysis on Non-Center Cloud Storage Architecture of Gluster

2014 ◽  
Vol 587-589 ◽  
pp. 2346-2349 ◽  
Author(s):  
Xiao Yang Liang
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
High Performance ◽  
Storage Systems ◽  
Low Cost ◽  
Storage System ◽  
Storage Device ◽  
Virtual Storage ◽  
Storage Resource ◽  
Technical Architecture

Cloud computing is based on cloud storage. Cloud storage through a variety of technical storage device abstraction into virtual storage resource pool. Compared with the traditional way of storage, it has the scalability and high performance, low cost and other advantages. Different cloud storage systems have different technical architecture and characteristics. From the perspective of metadata if there is a center node, with and without the typical cloud storage system to do a simple introduction and mainly for open source without Gluster center system are analyzed in focus.

scholarly journals SLA-Aware Multi-Criteria Data Placement in Cloud Storage Systems

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
M. Maghsoudloo ◽  
A. Rahdari ◽  
N. Khoshavi
Keyword(s):  
Cloud Storage ◽  
Storage Systems ◽  
Data Placement

Secure Password-Protected Encryption Key for Deduplicated Cloud Storage Systems

2021 ◽  
pp. 1-1
Author(s):  
Yuan Zhang ◽  
Chunxiang Xu ◽  
Nan Cheng ◽  
Xuemin Sherman Shen
Keyword(s):  
Cloud Storage ◽  
Storage Systems

scholarly journals Key Performance Indicators for an Energy Community Based on Sustainable Technologies

2021 ◽  
Vol 13 (16) ◽  
pp. 8789
Author(s):  
Giovanni Bianco ◽  
Barbara Bonvini ◽  
Stefano Bracco ◽  
Federico Delfino ◽  
Paola Laiolo ◽  
...  
Keyword(s):  
Performance Indicators ◽  
Urban Areas ◽  
High Performance ◽  
Power Plants ◽  
New Technologies ◽  
Storage Systems ◽  
Clean Energy ◽  
Key Performance Indicators ◽  
Energy Performance ◽  
Green Energy

As reported in the “Clean energy for all Europeans package” set by the EU, a sustainable transition from fossil fuels towards cleaner energy is necessary to improve the quality of life of citizens and the livability in cities. The exploitation of renewable sources, the improvement of energy performance in buildings and the need for cutting-edge national energy and climate plans represent important and urgent topics to be faced in order to implement the sustainability concept in urban areas. In addition, the spread of polygeneration microgrids and the recent development of energy communities enable a massive installation of renewable power plants, high-performance small-size cogeneration units, and electrical storage systems; moreover, properly designed local energy production systems make it possible to optimize the exploitation of green energy sources and reduce both energy supply costs and emissions. In the present paper, a set of key performance indicators is introduced in order to evaluate and compare different energy communities both from a technical and environmental point of view. The proposed methodology was used in order to assess and compare two sites characterized by the presence of sustainable energy infrastructures: the Savona Campus of the University of Genoa in Italy, where a polygeneration microgrid has been in operation since 2014 and new technologies will be installed in the near future, and the SPEED2030 District, an urban area near the Campus where renewable energy power plants (solar and wind), cogeneration units fed by hydrogen and storage systems are planned to be installed.

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