scholarly journals LHC Data Storage: Preparing for the Challenges of Run-3

2021 ◽  
Vol 251 ◽  
pp. 02023
Author(s):  
Maria Arsuaga-Rios ◽  
Vladimír Bahyl ◽  
Manuel Batalha ◽  
Cédric Caffy ◽  
Eric Cano ◽  
...  
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Data Transfer ◽  
Storage System ◽  
Third Party ◽  
Stress Tests ◽  
Erasure Coding ◽  
File Transfer ◽  
Transfer Services ◽  
Large Scale Tests

The CERN IT Storage Group ensures the symbiotic development and operations of storage and data transfer services for all CERN physics data, in particular the data generated by the four LHC experiments (ALICE, ATLAS, CMS and LHCb). In order to accomplish the objectives of the next run of the LHC (Run-3), the Storage Group has undertaken a thorough analysis of the experiments’ requirements, matching them to the appropriate storage and data transfer solutions, and undergoing a rigorous programme of testing to identify and solve any issues before the start of Run-3. In this paper, we present the main challenges presented by each of the four LHC experiments. We describe their workflows, in particular how they communicate with and use the key components provided by the Storage Group: the EOS disk storage system; its archival back-end, the CERN Tape Archive (CTA); and the File Transfer Service (FTS). We also describe the validation and commissioning tests that have been undertaken and challenges overcome: the ATLAS stress tests to push their DAQ system to its limits; the CMS migration from PhEDEx to Rucio, followed by large-scale tests between EOS and CTA with the new FTS “archive monitoring” feature; the LHCb Tier-0 to Tier-1 staging tests and XRootD Third Party Copy (TPC) validation; and the erasure coding performance in ALICE.

scholarly journals An Enhanced Data Storage Technique on Cloud Computing

2021 ◽  
Vol 1 (3) ◽  
pp. 1-4
Author(s):  
Kamlesh Sharma* ◽  
Nidhi Garg
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Party System ◽  
Large Scale ◽  
Service Providers ◽  
Storage System ◽  
Third Party ◽  
Storage Servers ◽  
Security Concern ◽  
Storage Technique

Exercising a collection of similar numerous easy to get sources and resources over the internet is termed as Cloud Computing A Cloud storage system is basically a storage system over a large scale that consist of many independent storage servers. During recent years a huge changes and adoption is seen in cloud computing so security has become one of the major concerns in it. As Cloud computing works on third party system so security concern is there not only for customers but also for service providers. In this paper we have discussed about Cryptography i.e., encrypting messages into certain forms, it’s algorithms including symmetric and asymmetric algorithm and hashing, its architecture, and advantages of cryptography.

scholarly journals An Enhanced Data Storage Technique on Cloud Computing

2021 ◽  
pp. 1-4
Author(s):  
Dr. Kamlesh Sharma ◽  
◽  
Nidhi Garg ◽  
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Party System ◽  
Large Scale ◽  
Service Providers ◽  
Storage System ◽  
Third Party ◽  
Storage Servers ◽  
Security Concern ◽  
Storage Technique

Exercising a collection of similar numerous easy to get sources and resources over the internet is termed as Cloud Computing A Cloud storage system is basically a storage system over a large scale that consist of many independent storage servers. During recent years a huge changes and adoption is seen in cloud computing so security has become one of the major concerns in it. As Cloud computing works on third party system so security concern is there not only for customers but also for service providers. In this paper we have discussed about Cryptography i.e., encrypting messages into certain forms, it’s algorithms including symmetric and asymmetric algorithm and hashing, its architecture, and advantages of cryptography.

Miniature Two-Axis Actuator for High-Data-Transfer-Rate Optical Data Storage System

2002 ◽  
Vol 41 (Part 1, No. 3B) ◽  
pp. 1804-1807 ◽  
Author(s):  
Gakuji Hashimoto ◽  
Hiroki Shima ◽  
Kenji Yamamoto ◽  
Tsutomu Maruyama ◽  
Takashi Nakao ◽  
...  
Keyword(s):  
Data Storage ◽  
Transfer Rate ◽  
Data Transfer ◽  
Storage System ◽  
Optical Data Storage ◽  
Optical Data ◽  
Data Transfer Rate ◽  
High Data ◽  
Data Storage System

Research and Design of the Distributed Mass Small File Storage System Based on WCF

2013 ◽  
Vol 765-767 ◽  
pp. 1087-1091
Author(s):  
Hong Lin ◽  
Shou Gang Chen ◽  
Bao Hui Wang
Keyword(s):  
Fault Tolerance ◽  
Distributed Computing ◽  
Data Storage ◽  
Large Scale ◽  
Storage System ◽  
Hardware Platform ◽  
File Storage ◽  
Computing Framework ◽  
Research And Design ◽  
Small File

Recently, with the development of Internet and the coming of new application modes, data storage has some new characters and new requirements. In this paper, a Distributed Computing Framework Mass Small File storage System (For short:Dnet FS) based on Windows Communication Foundation in .Net platform is presented, which is lightweight, good-expansibility, running in cheap hardware platform, supporting Large-scale concurrent access, and having certain fault-tolerance. The framework of this system is analyzed and the performance of this system is tested and compared. All of these prove this system meet requirements.

Monitoring of a Grid Storage Virtualization Service

2013 ◽  
Vol 5 (1) ◽  
pp. 53-69
Author(s):  
Jacques Jorda ◽  
Aurélien Ortiz ◽  
Abdelaziz M’zoughi ◽  
Salam Traboulsi
Keyword(s):  
Monitoring System ◽  
Data Storage ◽  
Large Scale ◽  
Distributed Storage ◽  
Storage System ◽  
Data Access ◽  
Data Placement ◽  
Workload Prediction ◽  
Storage Virtualization

Grid computing is commonly used for large scale application requiring huge computation capabilities. In such distributed architectures, the data storage on the distributed storage resources must be handled by a dedicated storage system to ensure the required quality of service. In order to simplify the data placement on nodes and to increase the performance of applications, a storage virtualization layer can be used. This layer can be a single parallel filesystem (like GPFS) or a more complex middleware. The latter is preferred as it allows the data placement on the nodes to be tuned to increase both the reliability and the performance of data access. Thus, in such a middleware, a dedicated monitoring system must be used to ensure optimal performance. In this paper, the authors briefly introduce the Visage middleware – a middleware for storage virtualization. They present the most broadly used grid monitoring systems, and explain why they are not adequate for virtualized storage monitoring. The authors then present the architecture of their monitoring system dedicated to storage virtualization. We introduce the workload prediction model used to define the best node for data placement, and show on a simple experiment its accuracy.

scholarly journals Theoretical Study of a Surface Collinear Holographic Memory

Photonics ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 70
Author(s):  
Hirayama ◽  
Fujimura ◽  
Umegaki ◽  
Tanaka ◽  
Shimura
Keyword(s):  
Data Storage ◽  
Transfer Rate ◽  
Data Transfer ◽  
Coefficient Of Thermal Expansion ◽  
Storage System ◽  
Reconstructed Image ◽  
Data Transfer Rate ◽  
Holographic Memory ◽  
High Data ◽  
Volume Holograms

Holographic memory is currently attracting attention as a data storage system capable of achieving a data transfer rate of about 105~106105~106 times that of an optical disc such as Blu-ray disc. In conventional holographic memory, data is generally recorded by optical writing using volume holograms. However, a volume hologram has the problem not only that it is required to have high mechanical accuracy of a system and low coefficient of thermal expansion of a recording medium, because reconstruction tolerance is extremely low, but also that duplicating time efficiency is poor because whole data cannot be recorded at once. In this paper we proposed surface holographic memory that achieved a high data transfer rate, stable readout performance, and collective duplication by expressing holograms with fine surface asperity. Furthermore, the theoretical formulas of recording and reconstruction processes in the proposed system were derived and the reconstruction characteristics of the hologram were evaluated by numerical simulation. As a result, the proposed method generated reconstructed image readout with sufficient signal for a single page recording. However, the reconstructed image had noise, which was particular to a surface holographic memory.

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