Sensitivity analysis of an availability model for disaster tolerant cloud computing system

Bruno Silva, Rubens Matos, Eduardo Tavares, Paulo Maciel and Armin Zimmermann

International Journal of Network Management, 2018, vol. 28, issue 6

Abstract: Because of the dependence on Internet‐based services, many efforts have been conceived to mitigate the impact of disasters on service provision. In this context, cloud computing has become an interesting alternative for implementing disaster tolerant services due to its resource on‐demand and pay‐as‐you‐go models. This paper proposes a sensitivity analysis approach to assess the parameters that most impact the availability of cloud data centers, taking into account disaster occurrence, hardware and software failures, and disaster recovery mechanisms for cloud systems. The analysis adopts continuous‐time Markov chains, and the results indicate that disaster issues should not be neglected. Hardware failure rate and time for migration of virtual machines (VMs) are the critical factors pointed out for the system modeled in our analysis. Moreover, the location where data centers are placed has a significant impact on system availability, due to time for migrating VMs from a backup server.

Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/nem.2040

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:intnem:v:28:y:2018:i:6:n:e2040

Access Statistics for this article

More articles in International Journal of Network Management from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().