scholarly journals SECURITY EVALUATION AND PERFORMANCE ASSESSMENT OF STORAGE AREA NETWORK (SAN) - A CASE STUDY OF NATIONAL ASSEMBLY (NASS), ABUJA - NIGERIA

2020 ◽  
Vol 04 (09) ◽  
pp. 471-484
Author(s):  
OKPE PETER BEN ◽  
MUHAMMAD SANUSI
Keyword(s):  
Performance Assessment ◽  
Security Evaluation ◽  
Area Network ◽  
Storage Area Network ◽  
National Assembly ◽  
Storage Area ◽  
And Performance

scholarly journals Cloud Bioinformatics in a Private Cloud Deployment

2014 ◽  
pp. 205-220 ◽  
Author(s):  
Victor Chang
Keyword(s):  
Biological Sciences ◽  
Medical Training ◽  
Area Network ◽  
Private Cloud ◽  
User Friendliness ◽  
Storage Area Network ◽  
Time Saving ◽  
Cloud Computing Adoption ◽  
Storage Area

This chapter describes service portability for a private cloud deployment, including a detailed case study about Cloud Bioinformatics services developed as part of the Cloud Computing Adoption Framework (CCAF). The Cloud Bioinformatics design and deployment is based on Storage Area Network (SAN) technologies, details of which include functionalities, technical implementation, architecture, and user support. Bioinformatics applications are written on the SAN-based private cloud, which can simulate complex biological sciences and present them in a way that anyone without prior knowledge can understand. Several bioinformatics results are discussed, particularly brain segmentation, which demonstrates different parts of the brain simulated by the private cloud. In addition, benefits of CCAF are illustrated using several bioinformatics examples such as tumour modelling, brain imaging, insulin molecules, and simulations for medical training. The Cloud Bioinformatics solution offers cost reduction, time-saving, and user friendliness.

scholarly journals Cloud Bioinformatics in a Private Cloud Deployment

2015 ◽  
pp. 2373-2388
Author(s):  
Victor Chang
Keyword(s):  
Biological Sciences ◽  
Medical Training ◽  
Area Network ◽  
Private Cloud ◽  
User Friendliness ◽  
Storage Area Network ◽  
Time Saving ◽  
Cloud Computing Adoption ◽  
Storage Area

This chapter describes service portability for a private cloud deployment, including a detailed case study about Cloud Bioinformatics services developed as part of the Cloud Computing Adoption Framework (CCAF). The Cloud Bioinformatics design and deployment is based on Storage Area Network (SAN) technologies, details of which include functionalities, technical implementation, architecture, and user support. Bioinformatics applications are written on the SAN-based private cloud, which can simulate complex biological sciences and present them in a way that anyone without prior knowledge can understand. Several bioinformatics results are discussed, particularly brain segmentation, which demonstrates different parts of the brain simulated by the private cloud. In addition, benefits of CCAF are illustrated using several bioinformatics examples such as tumour modelling, brain imaging, insulin molecules, and simulations for medical training. The Cloud Bioinformatics solution offers cost reduction, time-saving, and user friendliness.

Simulation of fibre channel storage area network using SANSim

2004 ◽  
Author(s):  
Chao-Yang Wang ◽  
Feng Zhou ◽  
Yao-Long Zhu ◽  
Chong Tow Chong ◽  
Bo Hou ◽  
...  
Keyword(s):  
Area Network ◽  
Storage Area Network ◽  
Fibre Channel ◽  
Storage Area

Microsoft Exchange Implementation on a Distributed Storage Area Network

2008 ◽  
Vol 30 (3) ◽  
pp. 251-264
Author(s):  
T. Brothers ◽  
N. Mandagere ◽  
S. Muknahallipatna ◽  
J.C. Hamann ◽  
H. Johnson
Keyword(s):  
Distributed Storage ◽  
Area Network ◽  
Storage Area Network ◽  
Storage Area

Preliminary Design and Performance Assessment of an Underwater CAES System (UW-CAES) for Wind Power Balancing

2019 ◽  
Author(s):  
Marco Astolfi ◽  
Giulio Guandalini ◽  
Marco Belloli ◽  
Adriano Hirn ◽  
Paolo Silva ◽  
...  
Keyword(s):  
Energy Storage ◽  
Performance Assessment ◽  
Power Input ◽  
Compressed Air ◽  
Preliminary Design ◽  
Round Trip ◽  
Peak Shaving ◽  
Renewable Power ◽  
And Performance

Abstract A key approach to large renewable power management is based on implementing storage technologies, including batteries, power-to-gas and compressed air energy storage (CAES). This work presents the preliminary design and performance assessment of an innovative type of CAES, based on underwater storage volumes (UW-CAES) and intended for installation in the proximity of deep water seas or lakes. The UW-CAES works with constant hydrostatic pressure storage and variable volumes. The proposed system is adiabatic, not using any fuel to increase the air temperature before expansion; a sufficient TIT is instead obtained through a thermal energy storage system which recovers the compression heat. The system includes (i) a set of turbomachines (modular multi-stage compressor, with partial intercooling; expansion turbine); (ii) a thermal energy storage (TES) system with different temperature levels designed to recover a large fraction of the compression heat, allowing the subsequent heating of air prior to the expansion phase; (iii) an underwater modular compressed air storage, conceived as a network of rigid but open tanks lying on the seabed and allowing a variable-volume and constant pressure operation. The compressor operates at variable loads, following an oscillating renewable power input, according to strategies oriented to improve the overall system dispatchability; the expander can be designed to work either at full load, thanks to the stability of the air flow rate and of the TIT guaranteed by the thermal storage, or at variable load. The paper first discusses in detail the sizing and off-design characterization of the overall system; it is then simulated a case study where the UW-CAES is coupled to a wind farm for peak shaving and dispatchability enhancement, evaluating the impact of a realistic power input on performances and plant flexibility. Although the assessment shall be considered preliminary, it is shown that round trip efficiency in the range of 75%–80% can be obtained depending on the compressor section configuration; making the UW-CAES a promising technology compared to electrochemical and pumped-hydro storage systems. The technology is also applied to perform peak-shaving of the electricity production from a wind park; annual simulations considering part load operation result in global round trip efficiency around 75% with a 10 to 15% reduction in the average unplanned energy injection in the electric grid. The investigated case study provides an example of the potential of this system in providing power output peak shaving when coupled with an intermittent and non-predictable energy source.

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