Flow-based networks such as OpenFlow-based networks have difficulty handling a large number of flows in a node due to the capacity limitation of search engine devices such as ternary content-addressable memory (TCAM). One typical solution of this problem would be to use MPLS-like tunneling, but this approach spoils the advantage of flow-by-flow path selection for load-balancing or QoS. We demonstrate a method named “Source Flow ” that allows us to handle a huge amount of flows without changing the granularity of flows. By using our method, expensive and power consuming search engine devices can be removed from the core nodes, and the network can grow pretty scalable. In our demo, we construct a small network that consists of small number of...
Abstract — Information Centric Networking (ICN) is an innovative direction for next generation netw...
In this paper we address the challenge of traffic optimization for big data flows in layer-2 network...
The size and amount of e-science data sets is growing rapidly. Keeping up with the network demand in...
Many network operations, ranging from attack investigation and mitigation to traffic management, req...
OpenFlow is a great concept, but its original design im-poses excessive overheads. It can simplify n...
Software defined network is one of the approach many industries are trying to take advantage of. Due...
A scalable network with high bisection bandwidth and high availability requires efficient use of the...
Considerable advantages for performance will accrue if large flows can be identified and treated dif...
Flow concurrency is the measure of the number of active flows at a given point in time at a given po...
As networks get more complex, the ability to track almost all the flows is becoming of paramount imp...
Traditional network monitoring involving packet capturing or flow sampling has many challenges such ...
OpenFlow has been envisioned as a promising approach to next-generation programmable and easy-to-man...
The size and amount of e-science data sets is growing rapidly. Keeping up with the network demand in...
This paper shows our design of three enhancements to the current OpenFlow technology. OpenFlow is a ...
Abstract-Datacenter network topologies are inherently built with enough redundancy to offer multiple...
Abstract — Information Centric Networking (ICN) is an innovative direction for next generation netw...
In this paper we address the challenge of traffic optimization for big data flows in layer-2 network...
The size and amount of e-science data sets is growing rapidly. Keeping up with the network demand in...
Many network operations, ranging from attack investigation and mitigation to traffic management, req...
OpenFlow is a great concept, but its original design im-poses excessive overheads. It can simplify n...
Software defined network is one of the approach many industries are trying to take advantage of. Due...
A scalable network with high bisection bandwidth and high availability requires efficient use of the...
Considerable advantages for performance will accrue if large flows can be identified and treated dif...
Flow concurrency is the measure of the number of active flows at a given point in time at a given po...
As networks get more complex, the ability to track almost all the flows is becoming of paramount imp...
Traditional network monitoring involving packet capturing or flow sampling has many challenges such ...
OpenFlow has been envisioned as a promising approach to next-generation programmable and easy-to-man...
The size and amount of e-science data sets is growing rapidly. Keeping up with the network demand in...
This paper shows our design of three enhancements to the current OpenFlow technology. OpenFlow is a ...
Abstract-Datacenter network topologies are inherently built with enough redundancy to offer multiple...
Abstract — Information Centric Networking (ICN) is an innovative direction for next generation netw...
In this paper we address the challenge of traffic optimization for big data flows in layer-2 network...
The size and amount of e-science data sets is growing rapidly. Keeping up with the network demand in...