Name
Abstract | ||
|---|---|---|
Recent studies have shown that the flow table size of hardware SDN switch cannot match the number of concurrent flows. Combined SDN Forwarding Element (CFE), which comprises software switch and hardware switch, becomes an alternative approach for tackling this problem. Because software switch has lower lookup speed than hardware switch, different proportions of traffic allocated to software switches in CFE have different effects on the delay bounds of all flows entering CFE. As delay-guarantee is a nontrivial task for network providers, especially with the increasing number of delay-sensitive applications, a model to analyze the delay bound given a flow allocation in CFE is important. With the one-to-one correspondence between flow allocation and rules placement solution, the analytical model can be used to evaluate and compare rules placement solutions and provide a basis for designing better rules placement solution in CFE. In this paper, we propose an analytical model for CFE based on network calculus, and then validate this model through simulations in NS-3. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.23919/INM.2017.7987332 | 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) |
Keywords | Field | DocType |
combined SDN forwarding element,CFE,NS-3,flow allocation,rules placement solution | Software switch,Computer science,Network providers,Computer network,Software,Network calculus,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5090-5658-3 | 0 | 0.34 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qinglei Qi | 1 | 5 | 1.77 |
| Wendong Wang | 2 | 821 | 72.69 |
| Xiangyang Gong | 3 | 161 | 23.01 |
| Xirong Que | 4 | 142 | 15.76 |