Title : 
Fault-tolerance characteristics of data center network topologies using fault regions
         
        
            Author : 
Yang Liu ; Muppala, Jogesh
         
        
            Author_Institution : 
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
         
        
        
        
        
        
            Abstract : 
Data center networks (DCNs) are inherently failure-prone owing to the existence of many links, switches and servers. Many times the failures of the components may be correlated resulting a set of connected components failing together. This correlated failure behaviour could be captured through the use of fault regions [1]. This paper explores the effect of such failures in DCNs, using four topologies, viz., Fat Tree, DCell, FlatNet and BCube. We used two categories of metrics for evaluation: connection-oriented metrics, including aggregated bottleneck throughput (ABT), average path length (APL) and routing failure rate (RFR); and network size-oriented metrics, including Component Decomposition Number (CDN) and Smallest/Largest Component Size (SCS/LCS).
         
        
            Keywords : 
computer centres; computer network performance evaluation; fault tolerant computing; trees (mathematics); ABT; APL; BCube; CDN; DCN failure; DCell; FlatNet; RFR; aggregated bottleneck throughput; average path length; component decomposition number; connection-oriented metrics; correlated failure behaviour; data center network topologies; evaluation metrics; fat tree; fault regions; fault tolerance characteristics; network size-oriented metrics; routing failure rate; smallest-largest component size; Fault tolerance; Fault tolerant systems; Measurement; Network topology; Servers; Switches; Topology; Data Center Network; Evaluation; Fault Region;
         
        
        
        
            Conference_Titel : 
Dependable Systems and Networks (DSN), 2013 43rd Annual IEEE/IFIP International Conference on
         
        
            Conference_Location : 
Budapest
         
        
        
            Print_ISBN : 
978-1-4673-6471-3
         
        
        
            DOI : 
10.1109/DSN.2013.6575321