scholarly journals Support for Automatic Diagnosis and Dynamic Configuration of Scalable Storage Systems

2007 ◽  
pp. 15-21
Author(s):  
Zsolt Németh ◽  
Michail D. Flouris ◽  
Renaud Lachaize ◽  
Angelos Bilas
Keyword(s):  
Storage Systems ◽  
Dynamic Configuration ◽  
Automatic Diagnosis ◽  
Scalable Storage ◽  
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

Crocus: Enabling Computing Resource Orchestration for Inline Cluster-Wide Deduplication on Scalable Storage Systems

2020 ◽  
Vol 31 (8) ◽  
pp. 1740-1753 ◽  
Author(s):  
Prince Hamandawana ◽  
Awais Khan ◽  
Chang-Gyu Lee ◽  
Sungyong Park ◽  
Youngjae Kim
Keyword(s):  
Storage Systems ◽  
Computing Resource ◽  
Scalable Storage ◽  
Resource Orchestration ◽  
Scalable Storage Systems

Toward a unified object storage foundation for scalable storage systems

2013 ◽  
Author(s):  
Cengiz Karakoyunlu ◽  
Dries Kimpe ◽  
Philip Carns ◽  
Kevin Harms ◽  
Robert Ross ◽  
...  
Keyword(s):  
Storage Systems ◽  
Scalable Storage ◽  
Object Storage ◽  
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

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.

Creating a standard method of controlling digital microscopes: the microscope access protocol (map)

1995 ◽  
Vol 53 ◽  
pp. 16-17
Author(s):  
T. A. Dodson ◽  
E. Völkl ◽  
L. F. Allard ◽  
T. A. Nolan
Keyword(s):  
Data Storage ◽  
Storage Systems ◽  
Digital Systems ◽  
Data Networks ◽  
Digital Microscopy ◽  
Command Language ◽  
Access Protocol ◽  
Analog To Digital ◽  
Basic Physics ◽  
Scanning Electron

The process of moving to a fully digital microscopy laboratory requires changes in instrumentation, computing hardware, computing software, data storage systems, and data networks, as well as in the operating procedures of each facility. Moving from analog to digital systems in the microscopy laboratory is similar to the instrumentation projects being undertaken in many scientific labs. A central problem of any of these projects is to create the best combination of hardware and software to effectively control the parameters of data collection and then to actually acquire data from the instrument. This problem is particularly acute for the microscopist who wishes to "digitize" the operation of a transmission or scanning electron microscope. Although the basic physics of each type of instrument and the type of data (images & spectra) generated by each are very similar, each manufacturer approaches automation differently. The communications interfaces vary as well as the command language used to control the instrument.

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