Paper Info
Title
A methodology to assess the availability of next-generation data centers
Abstract
Cloud data center providers benefit from software-defined infrastructure once it promotes flexibility, automation, and scalability. The new paradigm of software-defined infrastructure helps facing current management challenges of a large-scale infrastructure, and guarantying service level agreements with established availability levels. Assessing the availability of a data center remains a complex task as it requires gathering information of a complex infrastructure and generating accurate models to estimate its availability. This paper covers this gap by proposing a methodology to automatically acquire data center hardware configuration to assess, through models, its availability. The proposed methodology leverages the emerging standardized Redfish API and relevant modeling frameworks. Through such approach, we analyzed the availability benefits of migrating from a conventional data center infrastructure (named Performance Optimization Data center (POD) with redundant servers) to a next-generation virtual Performance Optimized Data center (named virtual POD (vPOD) composed of a pool of disaggregated hardware resources). Results show that vPOD improves availability compared to conventional data center configurations.
Year
DOI
Venue
2019
10.1007/s11227-019-02852-3
The Journal of Supercomputing
Keywords
Field
DocType
Next-generation data center, Redfish standard, Hardware disaggregation, vPOD, Availability, Sensitivity analysis
Service level,Computer science,Server,Cloud data center,Automation,Data center,Scalability,Distributed computing
Journal
Volume
Issue
ISSN
75
10
0920-8542
Citations 
PageRank 
References 
1
0.35
0
Authors
11
Name
Order
Citations
PageRank
Daniel Rosendo1152.14
Demis Gomes221.71
Guto Leoni Santos3151.90
Glauco Estácio Gonçalves4249.62
Moreira, A.5165.88
Leylane Ferreira622.39
Patricia Endo712125.32
Judith Kelner828831.23
Djamel Sadok937157.81
Amardeep Mehta1011.36
Mattias Wildeman1112.72