Availability modeling and analysis of a data center for disaster tolerance

2016 ◽  
Vol 56 ◽  
pp. 27-50 ◽  
Author(s):  
Tuan Anh Nguyen ◽  
Dong Seong Kim ◽  
Jong Sou Park
Keyword(s):  
Data Center ◽  
Modeling And Analysis ◽  
Disaster Tolerance ◽  
Availability Modeling

scholarly journals A Comprehensive Sensitivity Analysis of a Data Center Network with Server Virtualization for Business Continuity

2015 ◽  
Vol 2015 ◽  
pp. 1-20 ◽  
Author(s):  
Tuan Anh Nguyen ◽  
Dugki Min ◽  
Jong Sou Park
Keyword(s):  
Sensitivity Analysis ◽  
Data Center ◽  
Queuing Theory ◽  
Failure Modes ◽  
Business Continuity ◽  
System Availability ◽  
Modeling And Analysis ◽  
Server Virtualization ◽  
Sensitivity Assessment ◽  
Availability Modeling

Sensitivity assessment of availability for data center networks (DCNs) is of paramount importance in design and management of cloud computing based businesses. Previous work has presented a performance modeling and analysis of a fat-tree based DCN using queuing theory. In this paper, we present a comprehensive availability modeling and sensitivity analysis of a DCell-based DCN with server virtualization for business continuity using stochastic reward nets (SRN). We use SRN in modeling to capture complex behaviors and dependencies of the system in detail. The models take into account (i) two DCell configurations, respectively, composed of two and three physical hosts in a DCell0unit, (ii) failure modes and corresponding recovery behaviors of hosts, switches, and VMs, and VM live migration mechanism within and between DCell0s, and (iii) dependencies between subsystems (e.g., between a host and VMs and between switches and VMs in the same DCell0). The constructed SRN models are analyzed in detail with regard to various metrics of interest to investigate system’s characteristics. A comprehensive sensitivity analysis of system availability is carried out in consideration of the major impacting parameters in order to observe the system’s complicated behaviors and find the bottlenecks of system availability. The analysis results show the availability improvement, capability of fault tolerance, and business continuity of the DCNs complying with DCell network topology. This study provides a basis of designing and management of DCNs for business continuity.

A Hybrid Methodology for the Optimization of Data Center Room Layout

2003 ◽  
Author(s):  
Shrishail Guggari ◽  
Dereje Agonafer ◽  
Christian Belady ◽  
Lennart Stahl
Keyword(s):  
Data Center ◽  
Data Centers ◽  
Flow Distribution ◽  
High Heat ◽  
Complex Data ◽  
Efficient Design ◽  
Modeling And Analysis ◽  
Improve Energy Efficiency ◽  
Computational Fluid Dynamics Cfd ◽  
Analytical Tools

Today’s data centers are designed for handling heat densities of 1000W/m2 at the room level. Trends indicate that these heat densities will exceed 3000W/m2 in the near future. As a result, cooling of data centers has emerged as an area of increasing importance in electronics thermal management. With these high heat loads, data center layout and design cannot rely on intuitive design of air distribution and requires analytical tools to provide the necessary insight to the problem. These tools can also be used to optimize the layout of the room to improve energy efficiency in the data center. In this paper, first an under floor analysis is done to find an optimized layout based on flow distribution through perforated tiles, then a complete Computational Fluid Dynamics (CFD) model of the data center facility is done to check for desired cooling and air flow distribution throughout the room. A robust methodology is proposed which helps for fast, easy, efficient modeling and analysis of data center design. Results are displayed to provide some guidance on the layout and design of data center. The resulting design approach is very simple and well suited for the energy efficient design of complex data centers and server farms.

Availability modeling and analysis of a disaster-recovery-as-a-service solution

Computing ◽  
2017 ◽  
Vol 99 (10) ◽  
pp. 929-954 ◽  
Author(s):  
Ermeson Andrade ◽  
Bruno Nogueira ◽  
Rubens Matos ◽  
Gustavo Callou ◽  
Paulo Maciel
Keyword(s):  
Disaster Recovery ◽  
Modeling And Analysis ◽  
Availability Modeling
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