Title :
Twin Datacenter Interconnection Topology
Author :
Vassoler, Gilmar L. ; Paiva, Marcia H. M. ; Ribeiro, Moises R. N. ; Segatto, Marcelo E. V.
Author_Institution :
Fed. Inst. of Espirito Santo, Vitoria, Brazil
Abstract :
The authors propose an interconnection topology suited to server-centric networks based on Twin graphs. The topology exploits graph theory to cost-effectively improve network scalability and resilience. The authors discuss datacenter network topology by comparing Twin interconnection topologies to different datacenter topologies (that is, Fat Tree, BCube, DCell, and Hypercube). Their results show that Twin topologies have a lower link cost than previous datacenter topologies, are scalable with fine granularity, and are efficient, fault tolerant, and resilient owing to their features, which enable traffic balancing under both normal and faulty operating conditions.
Keywords :
computer centres; computer networks; hypercube networks; telecommunication network topology; trees (mathematics); BCube topology; DCell topology; Fat Tree topology; Hypercube topology; graph theory; network resilience; network scalability; server-centric networks; traffic balancing; twin data center interconnection topology; twin graph; Data centers; Fault tolerance; Network architecture; Network topology; Optical fiber networks; Ports (Computers); Servers; cost efficiency; datacenter network topology; fault tolerance; high performance computing; networking; resilience; scalability; software-defined networking; twin graphs;
Journal_Title :
Micro, IEEE