Flying Characteristics of the “Zero-Load” Slider Bearing

1983 ◽  
Vol 105 (3) ◽  
pp. 484-490 ◽  
Author(s):  
J. W. White
Keyword(s):  
Data Storage ◽  
High Performance ◽  
Storage System ◽  
Disk Surface ◽  
Air Bearing ◽  
Slider Bearing ◽  
Storage And Retrieval ◽  
High Stiffness ◽  
Lubricating Film ◽  
Low Load

One of the most critical elements making up a disk storage system is the air bearing interface located between the magnetic transducer and the disk surface on which data is stored and retrieved. The air film provided between the slider which houses the transducer and the disk serves to eliminate contact and wear of the solid surfaces and in addition must be extremely thin (on the order of 1/4 micron) in order to achieve a high density of data storage. Two of the most sought after properties of this lubricating film are a low generated load and high fluid stiffness. Low load allows the slider to be in contact with the disk when it is started and stopped, while high stiffness tends to provide a nearly uniform air bearing clearance which is important for reliable and efficient data storage and retrieval. The Zero-Load slider incorporates both low load and high stiffness in a single bearing. In this paper, the flying characteristics of the Zero-Load slider are discussed and its potential is explored. Numerical simulations which are presented for both static and dynamic operation indicate that the Zero-Load slider should be a strong contender for application in high performance disk files.

Research and Design on Intranet Security File System

2012 ◽  
Vol 433-440 ◽  
pp. 4704-4709
Author(s):  
Yan Shen Chen ◽  
De Zhi Han
Keyword(s):  
Data Storage ◽  
Data Security ◽  
High Performance ◽  
File System ◽  
Storage System ◽  
Data Encryption ◽  
Security Issue ◽  
Storage And Retrieval ◽  
System A ◽  
Secure File System

To solve the data security issue in intranet massive storage system, a Multi-Protocol Secure File System ( for short MPSFS) is designed. Firstly, the MPSFS supports the access of users with different protocols, and provides the unified access interface, so can achieve high performance in data storage and retrieval; secondly, with the help of other technologies such as identity authentication, access control and data encryption, the MPSFS can effectively ensure the data security in the intranet storage system. By the experiment, the MPSFS can provide good security and scalability for intranet massive storage system, and has less effect to the network I/O performance.

Evaluation of a Model-driven Knowledge Storage and Retrieval IDE for Interactive HRI Systems

2019 ◽  
Vol 13 (02) ◽  
pp. 207-227 ◽  
Author(s):  
Norman Köster ◽  
Sebastian Wrede ◽  
Philipp Cimiano
Keyword(s):  
Data Storage ◽  
User Study ◽  
Query Language ◽  
Storage System ◽  
Human Robot Interaction ◽  
Storage And Retrieval ◽  
Model Driven ◽  
Long Term Storage ◽  
Model Driven Software Development

Efficient storage and querying of long-term human–robot interaction data requires application developers to have an in-depth understanding of the involved domains. Creating syntactically and semantically correct queries in the development process is an error prone task which can immensely impact the interaction experience of humans with robots and artificial agents. To address this issue, we present and evaluate a model-driven software development approach to create a long-term storage system to be used in highly interactive HRI scenarios. We created multiple domain-specific languages that allow us to model the domain and seamlessly embed its concepts into a query language. Along with corresponding model-to-model and model-to-text transformations, we generate a fully integrated workbench facilitating data storage and retrieval. It supports developers in the query design process and allows in-tool query execution without the need to have prior in-depth knowledge of the domain. We evaluated our work in an extensive user study and can show that the generated tool yields multiple advantages compared to the usual query design approach.

High-End Storage

2012 ◽  
pp. 132-152
Author(s):  
Isabel Schwerdtfeger
Keyword(s):  
Real Time ◽  
Data Storage ◽  
High Performance ◽  
Storage System ◽  
Real Time Processing ◽  
Storage Solutions ◽  
Future Demands ◽  
And Performance ◽  
Extreme Scale ◽  
High Level

This chapter discusses the challenges high-end storage solutions will have with future demands. Due to heavy end-user demands for real-time processing of data access, this need must be addressed by high-end storage solutions. But what type of high-end storage solutions address this need and are suitable to ensure high performance write and retrieval of data in real-time from high- end storage infrastructures, including read and write access from digital archives? For this reason, this chapter reviews a few disk and tape solutions as well as combined disk- and tape storage solutions. The review on the different storage solutions does not focus on compliance of data storage management, but on available commercial high-end systems, addressing scalability and performance requirements both for online storage and archives. High level requirements aid in identifying high-end storage system features and support Extreme Scale infrastructures for the amount of data that high-end storage systems will need to manage in future.

Data Storage Technology and its Development Based on Cloud Computing

2013 ◽  
Vol 756-759 ◽  
pp. 1275-1279
Author(s):  
Lin Na Huang ◽  
Feng Hua Liu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
High Performance ◽  
File System ◽  
Storage System ◽  
Distributed File System ◽  
Cloud Data ◽  
Storage Technology ◽  
Cloud Data Storage

Cloud storage of high performance is the basic condition for cloud computing. This article introduces the concept and advantage of cloud storage, discusses the infrastructure of cloud storage system as well as the architecture of cloud data storage, researches the details about the design of Distributed File System within cloud data storage, at the same time, puts forward different developing strategies for the enterprises according to the different roles that the enterprises are acting as during the developing process of cloud computing.

scholarly journals Mass storage interface LTSM for FAIR Phase 0 data acquisition

2020 ◽  
Vol 245 ◽  
pp. 01018
Author(s):  
Jörn Adamczewski-Musch ◽  
Thomas Stibor
Keyword(s):  
Data Acquisition ◽  
Data Storage ◽  
High Performance ◽  
Large Scale ◽  
Storage System ◽  
Storage Management ◽  
Mass Storage ◽  
Branch System ◽  
Phase 0 ◽  
Mass Storage System

Since 2018 several FAIR Phase 0 beamtimes have been operated at GSI, Darmstadt. Here the new challenging technologies for the upcoming FAIR facility shall be tested while various physics experiments are performed with the existing GSI accelerators. One of these challenges concerns the performance, reliability, and scalability of the experiment data storage. Raw data as collected by event building software of large scale detector data acquisition has to be safely written to a mass storage system like a magnetic tape library. Besides this long term archive, it is often required to process this data as soon as possible on a high performance compute farm. The C library LTSM (“Lightweight Tivoli Storage Management”) has been developed at the GSI IT department based on the IBM TSM software. It provides a file API that allows for writing raw listmode data files via TCP/IP sockets directly to an IBM TSM storage server. Moreover, the LTSM library offers Lustre HSM (“Hierarchical Storage Management”) capabilities for seamlessly archiving and retrieving data stored on Lustre file system and TSM server. In spring 2019 LTSM has been employed at the FAIR Phase 0 beamtimes at GSI. For the HADES experiment LTSM was implemented into the DABC (“Data Acquisition Backbone Core”) event building software. During the 4 weeks of [email protected] AGeV beam, the HADES event builders have transferred about 400 TB of data via 8 parallel 10 GbE sockets, both to the TSM archive and to the “GSI green cube” HPC farm. For other FAIR Phase 0 experiments using the vintage MBS (“Multi Branch System”) event builders, an LTSM gateway application has been developed to connect the legacy RFIO (“Remote File I/O”) protocol of these DAQ systems with the new storage interface.

Numerical Solution of the Boltzmann Based Lubrication Equation for the Air-Bearing Interface Between a Skewed Slider and a Disk With Discrete Data Tracks

2011 ◽  
Vol 133 (2) ◽  
Author(s):  
James White
Keyword(s):  
Numerical Solution ◽  
Data Storage ◽  
Knudsen Number ◽  
Numerical Solutions ◽  
Disk Surface ◽  
Air Bearing ◽  
Skew Angle ◽  
Lubrication Equation ◽  
Highly Nonlinear ◽  
Discrete Track

Discrete track recording (DTR) is a method for increasing the recording density of a data storage disk by use of a pattern arrangement of discrete tracks. The DTR track structure consists of a pattern of very narrow concentric raised areas and recessed areas underneath a magnetic recording layer. In order to design the air-bearing slider platform that houses the magnetic transducer for DTR application at very low fly heights, the influence of the disk surface topography as a surface roughness effect must be taken into account. This paper is focused on the numerical solution of the roughness averaged lubrication equation reported recently in the work of White (2010, “A Gas Lubrication Equation for High Knudsen Number Flows and Striated Rough Surfaces,” ASME J. Tribol., 132, p. 021701) and is specialized for the influence of discrete disk data tracks on the recording head slider-disk air-bearing interface subject to a nonzero skew angle formed between the slider longitudinal axis and the direction of disk motion. The generalized lubrication equation for a smooth surface bearing and appropriate for high Knudsen number analysis is quite nonlinear. And including the averaging process required for treatment of a nonsmooth disk surface, as well as the rotational transformation required to allow for a nonzero skew angle, increases further the nonlinearity and general complexity of the lubrication equation. Emphasis is placed on development of a numerical algorithm that is fast, accurate, and robust for air-bearing analysis of complex slider surfaces. The numerical solution procedure developed utilizes a time integration of the lubrication equation for both steady-state and dynamic analyses. The factored-implicit scheme, a form of the more general alternating-direction-implicit numerical approach, was chosen to deal with the two-dimensional and highly nonlinear aspects of the problem. Factoring produces tightly banded coefficient matrices and results in an algorithm that is second-order accurate in time while requiring only the solution of tridiagonal systems of linear equations in advancing the computation from one time level to the next. Numerical solutions are presented that demonstrate the performance of the computational scheme and illustrate the influence of some discrete track parameters on skewed air-bearing performance as compared with a flat surface data storage disk.

High-Performance Mixed PRML Architecture for Optical Data Storage System

2005 ◽  
Vol 44 (5B) ◽  
pp. 3436-3439 ◽  
Author(s):  
Junghyun Lee ◽  
Eun-Jin Ryu ◽  
Jae-Wook Lee ◽  
Eing-Seob Cho ◽  
Maxim Konakov ◽  
...  
Keyword(s):  
Data Storage ◽  
High Performance ◽  
Storage System ◽  
Optical Data Storage ◽  
Optical Data ◽  
Data Storage System

scholarly journals Design and Implementation of the first Generic Archive Storage Service for Research Data in Germany

2020 ◽  
Vol 15 (1) ◽  
pp. 15
Author(s):  
Felix Bach ◽  
Björn Schembera ◽  
Jos Van Wezel
Keyword(s):  
Data Storage ◽  
High Performance ◽  
Identity Management ◽  
Storage System ◽  
Cost Effective ◽  
Research Data ◽  
Data Accessibility ◽  
Data Movement ◽  
Long Term Storage

Research data as the true valuable good in science must be saved and subsequently kept findable, accessible and reusable for reasons of proper scientific conduct for a time span of several years. However, managing long-term storage of research data is a burden for institutes and researchers. Because of the sheer size and the required retention time apt storage providers are hard to find. Aiming to solve this puzzle, the bwDataArchive project started development of a long-term research data archive that is reliable, cost effective and able store multiple petabytes of data. The hardware consists of data storage on magnetic tape, interfaced with disk caches and nodes for data movement and access. On the software side, the High Performance Storage System (HPSS) was chosen for its proven ability to reliably store huge amounts of data. However, the implementation of bwDataArchive is not dependant on HPSS. For authentication the bwDataArchive is integrated into the federated identity management for educational institutions in the State of Baden-Württemberg in Germany. The archive features data protection by means of a dual copy at two distinct locations on different tape technologies, data accessibility by common storage protocols, data retention assurance for more than ten years, data preservation with checksums, and data management capabilities supported by a flexible directory structure allowing sharing and publication. As of September 2019, the bwDataArchive holds over 9 PB and 90 million files and sees a constant increase in usage and users from many communities.

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