Name
Abstract | ||
|---|---|---|
Multipath diversity significantly impacts multipath transmission quality. Enough multipath diversity would minimize the negative influence brought by an individual path, thus improving tolerance capability of network congestion and failure. However, multipath diversity is hard to guarantee on overlay networks because of inaccurate awareness of underlay network and multipath generating methods considering little about underlay diversity. In this paper, we design a multi-dimension spatial method for topology awareness and multipath generating. Analyzing that the complicated underlay networks with multiple autonomous systems reduce the accuracy of network positioning for topology awareness, we decompose the underlay networks into multiple dimensions, namely intra and inter autonomous system dimensions. We generate independent views for each autonomous system and merge views by embedding exchange points. Then, we design some spatial mechanisms to evaluate link diversity and to constrain multipath generating. Based on the multi-dimensional view, multipath generating is conducted in inter and intra autonomous system phases. Experiments demonstrate that the proposed method improves topology awareness accuracy and guarantees multipath diversity better and the transmission quality is improved. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/sym11070870 | SYMMETRY-BASEL |
Keywords | Field | DocType |
multipath transmission,multipath generating,spatial multipath generating,topology awareness,multipath diversity,network positioning,multi-dimension topology view,underlay diversity | Multipath propagation,Embedding,Mathematical analysis,Underlay,Network congestion,Autonomous system (Internet),Autonomous system (mathematics),Multiple time dimensions,Overlay network,Mathematics,Distributed computing | Journal |
Volume | Issue | Citations |
11 | 7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunchong Guan | 1 | 3 | 3.77 |
| Weimin Lei | 2 | 29 | 16.35 |
| Wei Zhang | 3 | 0 | 1.01 |
| Yuzhuo Zhan | 4 | 0 | 0.34 |
| Hao Li | 5 | 261 | 85.92 |
| Songyang Zhang | 6 | 0 | 0.34 |