A new application‐level link aggregation and its implementation on Android terminals

Takiguchi, Tetsuya; Hidaka, Akira; Hiromu, Masui; Sugizaki, Yoshiaki; Mizuno, Osamu; Asatani, Koichi

doi:10.1002/wcm.2329

Cited by 7 publications

(6 citation statements)

References 2 publications

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“…In [9], the authors proposed an application-level link aggre gation (ALA) scheme. But, they demonstrated link aggregation over two Wi-Fi interfaces only.…”

Section: Related Workmentioning

confidence: 99%

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A Dynamic Link aggregation Scheme for heterogeneous wireless networks

Krishna

Madhuri

Sathya

et al. 2014

2014 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

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User Equipments (UEs) are integrated with multiple interfaces to facilitate the usage of various wireless technologies. However, due to the limitations of each technology, expected data rates are not achieved even when the best of available interfaces is chosen for data transfer. Link aggregation is used to aggregate data rates over multiple interfaces for achieving higher data rates. Even though there are multiple link aggregation schemes proposed, they are highly complicated and do not consider dynamics of wireless links. In this paper, we propose a simple and application layer Dynamic Link aggregation Scheme (DLAS) where data can be dynamically transferred through multiple links parallelly or sequentially. We tested the performance of the proposed DLAS schemes in NS-3 simulator and found that DLAS schemes achieve considerable improvement in the data rates in heterogeneous networks comprising of LTE and Wi-Fi technologies. In our experiments for 10 UEs, DLAS achieved 65 % improvement in maximum achievable throughput when compared to an existing application layer link aggregation technique.

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“…In [9], the authors proposed an application-level link aggre gation (ALA) scheme. But, they demonstrated link aggregation over two Wi-Fi interfaces only.…”

Section: Related Workmentioning

confidence: 99%

“…Reference link aggregation scheme (ALA) given in[9] is implemented and final scenario is where one interface is connected to macro and other interface connected to Wi Fi/Femto. A scenario where one interface is connected to Femto and other interface to Wi-Fi is out of scope of this work.…”

mentioning

confidence: 99%

A Dynamic Link aggregation Scheme for heterogeneous wireless networks

Krishna

Madhuri

Sathya

et al. 2014

2014 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

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“…It is worth noting that all prior work similar to this system ( [1,13,27]), focused solely on single, large files. Transferring a single, large file is a best-case scenario for networking because the communication is half-duplex and the server can send the file as fast as the network will allow (spending the majority of the time out of the TCP slow-start phase).…”

Section: Discussionmentioning

confidence: 99%

“…The main distinction between these approaches is where the data striping occurs: at a proxy or at the client. [14,22,27] implemented the multiplexing at a proxy server, shown in figure 3. Once a community of nearby devices was formed, each member of the community established a connection, over their cellular interface, with the proxy server.…”

Section: Multiple Devices Single Interfacementioning

confidence: 99%

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Bandwidth Aggregation Across Multiple Smartphone Devices

Zeller

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Bandwidth Aggregation Across Multiple Smartphone Devices Bradley Raymond ZellerSmartphones now account for the majority of all cell phones in use today [23].Ubiquitous Internet access is a valuable feature offered by these devices and the vast majority of smartphone applications make use of the Internet in one way or another.However, the bandwidth offered by these cellular networks is often much lower than we typically experience on our standard home networks, leading to a less-than-optimal user experience. This makes it very challenging and frustrating to access certain types of web content such as video streaming, large file downloads, loading large webpages, etc.Given that most modern smartphones are multi-homed and are capable of accessing multiple networks simultaneously, this thesis attempts to utilize all available network interfaces in order to achieve the aggregated bandwidth of each to improve the overall network performance of the phone. To do so, I implement a bandwidth aggregation system for iOS that combines the bandwidths of multiple devices located within close proximity of each other. Deployed on up to three devices, speedups of up to 1.82x were achieved for downloading a single, 10mb file. Webpage loading saw speedups of up to 1.55x. iv ACKNOWLEDGMENTS

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