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Project Details
| Department | Computer Science |
| Type | Project |
| Pages | 35 |
| Reference Style | YES |
| Format | MS Word & PDF |
| Reference No. | CPU1453 |
Abstract
ABSTRACTTo construct an efficient overlay network, the information of underlay is important. We consider using end-to-end measurement tools such as traceroute to infer the underlay topology among a group of hosts. Previously, Max-Delta has been proposed to infer a highly accurate topology with a low number of traceroutes. However, Max-Delta relies on a central server to collect traceroute results and to select paths for hosts to traceroute. It is not scalable to large groups. In this paper, we investigate a distributed inference scheme to support scalable inference. In our scheme, each host jo…
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Full material
₦ 5,000 $(29)
| Pages | 35 |
| Delivery | Instant, after payment |
