Prediction Based Efficient Online Bandwidth Allocation Method

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In this letter, we propose an efficient online bandwidth allocation method based on Gaussian process regression (GPR) in order to guarantee given quality of service (QoS) requirement and to prevent a waste of resources. To this end, we analyze large-buffer asymptotics for Gaussian queues including non-stationary input processes, and derive the necessary bandwidth to meet the requirement. Our experimental results demonstrate the proposed method satisfies the QoS requirement for both synthetic traffic and real-world traffic. We also show that the proposed algorithm performs better than the existing algorithm in terms of resource efficiency.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2019-12
Language
English
Article Type
Article
Citation

IEEE COMMUNICATIONS LETTERS, v.23, no.12, pp.2330 - 2334

ISSN
1089-7798
DOI
10.1109/LCOMM.2019.2947895
URI
http://hdl.handle.net/10203/270951
Appears in Collection
MA-Journal Papers(저널논문)
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