Energy Efficient Data Center Networks - A SDN based approach

Poster presented at IBM Collaborative Academia Research Exchange (ICARE) Conference

Transcript

1. Energy  Efficient  Data  Center  Networks  -­‐  A  SDN  based  approach  
    
   Dharmesh  Kakadia  and  Vasudeva  Varma,  SIEL,  IIIT  Hyderabad
    
    dharmesh.kakadia@research.iiit.ac.in              IBM  Collabora9ve  Academia  Research  Exchange  (I-­‐CARE),  Oct’  12  
   Parameter  
    
   Value  
    
   Parameter  
    
   Value  
    
   Number  of  Hosts  
    
   2000  
    
   Number  of  Ports  per  Switch  
    
   24  
    
   Switch  booEng  Eme  
    
   90  sec  
    
   Number  of  Edge  Switches  
    
   100  
    
   Topology  
    
   FatTree  
    
   Link  Capacity  
    
   100  MBPS  
    
   Motivation
   •  Large operational cost (OPEX) of infrastructure
   •  Network power contributes 15% of the amortized cost
   •  Turning off a port does not help much: power
   consumption of a switch varies less than 8% when
   utilization varies from zero to full
   •  SLAs are important
   Conclusion  
   •  Near linear power consumption of network
   •  Scalable
   •  Stable
   Ongoing and Future Work
   •  Implementation on OpenStack
   •  Validation on different topologies and traffic
   •  Quantifying the effect on fault-tolerance
   •  Other approaches to prioritise flows
   Software Defined Networking
   •  Separation of control and data plane functionalities
   •  Control plane is implemented in software
   Proposed Algorithm
   OptimizeAllocation(S){
   Update traffic stats using SDN counters
   For each Switch s in S
   such that Utilization(s) < threshold Θ
   over time t
   do {
   if(canMigrate(s, S-s)){
   pFlows=prioritiseFlows(s)
   incrementalMigration(pFlows)
   Power-off(s)
   }
   } }
   Data center Networks
   •  Designed for peak load and always on assumption
   •  Does not consider traffic variation
   -  < 25% links are hotspots
   -  Huge traffic variation during different time of day.
   -  75% of traffic stays within a rack
   •  Effective routing algorithm to reduce utilization
   •  Load balance across paths and migrate VMs
   Results
   Experimental setup
   •  Simulation using Mininet
   •  Floodlight as SDN controller
   •  Random traffic from each host to fixed no of other hosts
   •  Delay variation as an indicator of SLA adherence
   OpenFlow
    
   •  Open networking interface – one way of achieving SDN
   •  Centralized view of network
   •  Remotely controlling forwarding tables of network
   devices.
   

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