Paper Info
Title
An Availability Model for DSS and OLTP Applications in Virtualized Environments
Abstract
Decision support systems (DSS) and online transaction processing applications (OLTP) are crucial for several organizations and frequently require high levels of availability. Many organizations moved their systems to the virtualized environment aiming at improving system availability. Despite the flexibility and manageability features provided by virtualization, a question arises on what policies to apply in order to achieve high availability. Usual approaches highlight redundancy as a strategy for high availability. Still, a concern persists on what components we should consider for redundancy. This paper proposes a hierarchical availability model for evaluating different redundancy allocations for DSS and OLTP systems in virtualized environments. We present three case studies investigating only-Virtual Machine (VM) redundancy and physical machine redundancy strategies. The results provide an overview of the availability impact due to each strategy. We noticed that the physical machine failure rate limits the maximum availability obtained from only-VM redundancy. We exercise our model with a genetic algorithm to find alternatives for high availability. The presented models and results may bring insights when designing availability policies.
Year
DOI
Venue
2020
10.1109/EDCC51268.2020.00023
2020 16th European Dependable Computing Conference (EDCC)
Keywords
DocType
ISSN
Availability, Hierarchical Models, Cloud Computing, OLTP, Decision Support Systems
Conference
2641-810X
ISBN
Citations 
PageRank 
978-1-7281-8937-6
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
Torquato, M.1295.13
Charles F. Gonçalves200.34
Marco Vieira3971112.31