Abstract
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.
Highlights
Telecommuting is widely required during the coronavirus pandemic, making remote data access grow significantly (Bright and Raschid, 2000; Hutanu et al, 2010)
We examine the effects of the Proportional-Hazards Model (PHM) load model parameter αSwA1 by analyzing the reliability of SwA1 and the entire storage area networks (SANs) system using three different values, αSwA1=0.5, 1.0, 1.5
To defend against cascading failures or at least mitigate their consequences, it is pivotal to study the impact of loading on the reliability of critical technological devices and systems
Summary
Telecommuting is widely required during the coronavirus pandemic, making remote data access grow significantly (Bright and Raschid, 2000; Hutanu et al, 2010). It is crucial to model effects of loading in the SAN reliability modeling and analysis, which can aid in the design of mitigation strategies against cascading failures caused by overloading. In Shetty (2002), the reliability block diagrams-based method was used to assess availability and reliability metrics of SANs configured with Dell servers, storage arrays and Fiber Channel switches. All these works fail to consider the effects of loading in the SAN reliability modeling and analysis. We make contributions by modeling the effects of data loading on the reliability of an individual switch device in SANs though two different loadfailure models: the proportional-hazards model and accelerated failure-time model. Load-Failure Rate Relationship Models To model the relationship between the loading and failure behavior of a device in the SAN, the proportional-hazards model, and the accelerated failure-time model (Levitin and Amari, 2009) are applied
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Mathematical, Engineering and Management Sciences
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
