Experience-based network resource usage on mobile hosts

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Experience-based network resource usage on mobile hosts

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International Conference On Emerging Networking Experiments And Technologies archive
Proceedings of the 2006 ACM CoNEXT conference table of contents

Lisboa, Portugal

POSTER SESSION: Poster session 2 table of contents

Article No. 46

Year of Publication: 2006

ISBN:1-59593-456-1

Authors

Arjan Peddemors	Telematica Instituut, The Netherlands and TU Delft, The Netherlands
Henk Eertink	Telematica Instituut, The Netherlands
Ignas Niemegeers	TU Delft, The Netherlands

Sponsors

: CISCO
: Fundacao para a Ciencia e Tecnologia
: Thomson
: ACM SIGCOMM
: Intel
Microsoft : Microsoft
: Associacao de Turismo de Lisboa
: E-Next
: ISCTE
: Camara Municipal de Lisboa

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 2, Downloads (12 Months): 6, Citation Count: 0

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abstract references collaborative colleagues

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ABSTRACT

The network resources available on a mobile device may be better employed when taking into account the history of mobility patterns of the user. We propose an experience-based mechanism for network resource usage by applications on mobile hosts. It incorporates a machine learning component that adapts the network resource usage given a high-level metric, typically consisting of system as well as application related sub-metrics.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	CoSphere NAL: Network Abstraction Layer Software for Windows CE, Retrieved on 29/9/2006 from http://cosphere.telin.nl/nal/
	2	A. Peddemors, I. Niemegeer, and H. Eertink, "An Extensible Network Resource Abstraction for Applications on Mobile Devices", Submitted to the Second International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE'07), Jan. 2007
	3	L. Peshkin and V. Savova, "Reinforcement Learning for Adaptive Routing", In Proceedings of the International Joint Conference on Neural Networks (IJCNN'02), 2002
	4	Richard S. Sutton, Reinforcement Learning, Kluwer Academic Publishers, Norwell, MA, 1992

Collaborative Colleagues:

Arjan Peddemors: colleagues

Henk Eertink: colleagues

Ignas Niemegeers: colleagues

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