Advanced Measurements of the Aggregation Capability of the MPT Network Layer Multipath Communication Library

Abstract

Abstract-The MPT network layer multipath communication library is a novel solution for several problems including IPv6 transition, reliable data transmission using TCP, real-time transmission using UDP and also wireless network layer routing problems. MPT can provide an IPv4 or an IPv6 tunnel over one or more IPv4 or IPv6 communication channels. MPT can also aggregate the capacity of multiple physical channels. In this paper, the channel aggregation capability of the MPT library is measured up to twelve 100Mbps speed channels. Different scenarios are used: both IPv4 and IPv6 are used as the underlying and also as the encapsulated protocols and also both UDP and TCP are used as transport protocols. In addition, measurements are taken with both 32-bit and 64-bit version of the MPT library. In all cases, the number of the physical channels is increased from 1 to 12 and the aggregated throughput is measured.

Throughput Performance Comparison of MPT-GRE and MPTCP in the Fast Ethernet IPv4/IPv6 Environment

“…Following the approach of papers [17]- [22], we also carried out for real file transfer performance measurements using scripts. For FTP performance-analysis we run the scripts on PC1, while PC2 was configured as the FTP server.…”

Performance Analysis of a Multiuser Multipath Communication System: a Game Theoretical Approach

“…Lencse and Kovács investigated the aggregation performance limits of the MPT multipath software library in [9] and [10]: The throughput capacity of the multipath system increased linearly with the number of paths using IPv4 (up to the systems' maximum of 12 paths with speed of 100 Mbps in each physical connection). Using IPv6, the test measurements reached the maximum limit of the aggregation in the same laboratory environment: The throughput of the system increased up to 7 paths, but then no further speed increasing could be seen even when adding more paths to the system.…”

“…The overall system utilization investigation using game theory suggests strategies on how to design or use the overall network system. As Lencse and Kovács [9] show, hardware capacity influences the aggregated bandwidth limitation at the client site, it leads us to investigate the overall system utilization further and to use game theory approaches.…”

“…As it was presented in [9], the aggregation needs resources from the Node (mainly CPU). The available resources are limited on the Node:…”

“…This game serves as an example of how an MPC client aims at increasing its payoff related to the throughput it receives, while the payoff is limited by the cost function. In the second game, payoff functions are represented by throughput gains and the cost functions are represented as hardware resource limitations caused by the increasing number of requested paths as investigated by Lencse and Kovacs [9].…”