DocumentCode :
2309892
Title :
A game theoretical bandwidth allocation mechanism for cloud robotics
Author :
WANG, Lujia ; Meng, Max Q -H
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
3828
Lastpage :
3833
Abstract :
Cloud robotics is currently driving interest in both academia and industry, since it would allow robots to off-load computation intensive tasks, combine with multiple robots and even download new skills. Bandwidth allocation is the fundamental and dominant task for resource sharing among users in cloud robotics. However, many technical challenges are still outstanding, since incast congestion happens in high-bandwidth and low-latency networks, when multiple synchronized users send data to a same receiver in parallel [1]. In this paper, we introduce a resource allocation framework for cloud robotics, and propose a game-theoretic problem formulation and linear pricing scheme of bandwidth allocation, we also implement a congestion control algorithm by using optimal parameters derived from the game-theoretic algorithm. Simulation results demonstrate that the proposed mechanism achieves better performance of bandwidth allocation in cloud robotics scenarios.
Keywords :
bandwidth allocation; cloud computing; control engineering computing; game theory; multi-robot systems; resource allocation; telecommunication congestion control; telecommunication network management; cloud robotics; computation intensive tasks; congestion control algorithm; game theoretical bandwidth allocation mechanism; game-theoretic algorithm; game-theoretic problem formulation; high-bandwidth networks; incast congestion; linear pricing scheme; low-latency networks; multiple robots; multiple synchronized users; optimal parameters; resource allocation framework; resource sharing; Bandwidth; Channel allocation; Pricing; Resource management; Service robots; Throughput; Cloud Robotics; Complete Information Pricing Scheme; Congestion Control; Resource Allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6359111
Filename :
6359111
Link To Document :
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