Data Security for Storage Area Networks

2009 ◽  
pp. 433-440
Author(s):  
Tom Clark
Keyword(s):  
Data Storage ◽  
Data Center ◽  
High Performance ◽  
Fibre Channel ◽  
Networked Storage ◽  
Storage Area Networks ◽  
Physical Isolation ◽  
Application Data ◽  
Storage Area ◽  
Networking Technology

Data storage is playing an increasingly visible role in securing application data in the data center. Today virtually all large enterprises and institutions worldwide have implemented networked storage infrastructures to provide high performance input/output (I/O) operations, high availability access, consolidation of storage assets, and data protection and archiving. Storage area networks (SANs) are typically based on Fibre Channel technology and are normally contained within the physical confines of the data center. The security of this physical isolation, however, has proven inadequate to safeguard data from inadvertent or malicious disruption. Both established and emerging Fibre Channel and IP standards are required to secure the storage infrastructure and protect data assets from corruption or misappropriation. This paper provides an overview of storage networking technology and the security mechanisms that have been developed to provide data integrity for data center storage infrastructures.

Storage Infrastructure for Big Data and Cloud

2014 ◽  
pp. 110-128 ◽  
Author(s):  
Anupama C. Raman
Keyword(s):  
Big Data ◽  
Real Time ◽  
Data Storage ◽  
Unstructured Data ◽  
Storage Area Networks ◽  
Storage Technology ◽  
Object Based ◽  
Storage Area ◽  
Storage Technologies ◽  
Big Data Storage

Unstructured data is growing exponentially. Present day storage infrastructures like Storage Area Networks and Network Attached Storage are not very suitable for storing huge volumes of unstructured data. This has led to the development of new types of storage technologies like object-based storage. Huge amounts of both structured and unstructured data that needs to be made available in real time for analytical insights is referred to as Big Data. On account of the distinct nature of big data, the storage infrastructures for storing big data should possess some specific features. In this chapter, the authors examine the various storage technology options that are available nowadays and their suitability for storing big data. This chapter also provides a bird's eye view of cloud storage technology, which is used widely for big data storage.

scholarly journals ANALISIS KINERJA ISCSI TARGET PADA WIRELESS LAN MEMAKAI STANDAR LIO

SINERGI ◽  
2015 ◽  
Vol 19 (1) ◽  
pp. 25
Author(s):  
Rizal Bahaweres ◽  
Tjetjep Rony Budiman ◽  
Andi Adriansyah
Keyword(s):  
Open Source ◽  
Data Storage ◽  
Data Center ◽  
Wireless Lan ◽  
Fibre Channel ◽  
Ieee 1394 ◽  
Scsi Target

Semakin banyaknya kebutuhan data center maupun laboratorium komputer di Indonesia dipengaruhi oleh semakin banyaknya pengguna yang memanfaatkan komputer baik untuk bisnis maupun pendidikan. Salah satu kebutuhan utama yang tidak bisa dilepaskan dari pemakaian komputer adalah tempat penyimpanan baik berupa USB Flash Disk, HD Eksternal, HD Internal sampai HD untuk kebutuhan skala besar untuk komputer server yang berada di data center, laboratorium atau jaringan komputer. Ruang penyimpanan data atau data storage semakin berkembang dengan munculnya teknologi komputer jaringan yang memunculkan alternatif data storage berupa DAS, NAS, FC, FcoE dan iSCSI. iSCSI menggunakan standard TCP/IP protocol over Ethernet untuk menyediakan penyimpanan berbasis block. Saat ini ada 2 jenis multiprotocol SCSI Target utama di industri yaitu LIO dan COMSTAR yang menggantikan teknologi sebelumnya yaitu iET, SCST dan STGT. LIO (linux-iscsi.org) merupakan standard open source iSCSI Target untuk berbagi ruang penyimpanan di Linux. LIO mendukung storage fabrics, yaitu Fibre Channel (QLogic), FCoE, iEEE 1394, iSCSI, iSER (Mellanox InfiniBand), SRP (Mellanox InfiniBand), USB, vHost, dan lain-lain.

scholarly journals Influence of Load on Reliability of Storage Area Networks

2021 ◽  
Vol 6 (6) ◽  
pp. 1533-1552
Author(s):  
Guixiang Lv ◽  
Liudong Xing
Keyword(s):  
Data Storage ◽  
Proportional Hazards Model ◽  
Failure Time ◽  
Data Access ◽  
Accelerated Failure Time Model ◽  
Cascading Failures ◽  
Time Model ◽  
Storage Area Networks ◽  
Storage Area ◽  
Data Loading

During the coronavirus pandemic, telecommuting is widely required, making remote data access grow significantly. This requires highly reliable data storage solutions. Storage area networks (SANs) are one of such solutions. To guarantee that SANs can deliver the desired quality of service, cascading failures must be prevented, which occur when a single initial incident triggers a cascade of unexpected failures of other devices. One such incident is the data loading/overloading, causing the malfunction of one device and further cascading failures. Thus, it is crucial to address influence of data loading on the SAN reliability modeling and analysis. In this work, we make contributions by modeling the effects of data loading on the reliability of an individual switch device in SANs though the proportional-hazards model and accelerated failure-time model. Effects of loading on the reliability of the entire SAN are further investigated through dynamic fault trees and binary decision diagrams-based analysis of a mesh SAN system.

Quanta data storage: an information processing and transportation architecture for storage area networks

2005 ◽  
Vol 23 (10) ◽  
pp. 2032-2040 ◽  
Author(s):  
S.B. Narasimhamurthy ◽  
P.C. Gurumohan ◽  
S. Sreenivasamurthy ◽  
J.Y. Hui
Keyword(s):  
Information Processing ◽  
Data Storage ◽  
Storage Area Networks ◽  
Storage Area
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