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Multi-granular Stream Optical Burst Switching

Authors: Oliver Yu; Ming Liao; Yuan Cao;

Multi-granular Stream Optical Burst Switching

Abstract

This paper presents a novel architecture of multi-granular stream optical burst switching (MGS-OBS), which enables an all-optical network to support sub-wavelength streaming traffic of diverse bandwidth granularities with guaranteed end-to-end delay and data loss rate. It shapes a sub-wavelength stream into a periodic burst train; and allows variable bit rate (VBR) streaming traffic with same source and destination to share the reserved bandwidth through statistical multiplexing. By adopting periodic advanced scheduling of burst trains, MGS-OBS substantially decreases recursive signaling processing in supporting sub-wavelength streaming traffic. MGS-OBS employs burst train reservation blocking recovery by time-shifting a blocked burst train. Performance of MGS-OBS is analyzed in terms of wavelength utilization and data loss rate, and the stream transmission failure rate. It is found that the performance of the MGS-OBS is compared favorably with other OBS schemes that target for efficient support of bursty traffic.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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