TAS Scheduling with Network Domain Division

Kawakami, Yuhei; Kawata, Hideo; Yasuhara, Natsuki; Abe, Hironao; Yoshihara, Shinichi; Yoshida, Tomoaki

doi:10.1109/icc45041.2023.10278585

Cited by 1 publication

(2 citation statements)

References 13 publications

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“…In the computation of TAS scheduling, the SMT problem is commonly solved. In our previous work [12], we classified the patterns of unschedulability in TAS scheduling into two patterns. In the first pattern, no solution satisfies the SMT problem (unsat).…”

Section: Research Challengementioning

confidence: 99%

See 1 more Smart Citation

Proposal of TAS Hypercycle Expansion Suppression Method by Transmission Cycle Period Conversion

Kawakami,

Kawata,

Tanase

et al. 2024

IEICE Commun. Express

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IEEE802.1Qbv (Time-aware Shaper: TAS) has recently been applied within user networks (NWs) for realizing factory automation and remote control. As mass customization matures, TAS is expected to extend its application coverage to not only user NWs but also wide-area NWs to enable real-time communication for remote control and cloud-based application use. However, designing a TAS schedule is an NP-hard problem, which becomes more difficult as the gate control list (GCL) hypercycle increases. In this paper, we propose a method to convert the transmission cycle of Talker to a different cycle time for TAS scheduling in a carrier NW. This results in a smaller GCL hypercycle in the carrier NW.Our evaluation experiments show that the GCL computation time of the proposed method is shorter. This paper contributes to the realization of TAS in the wide-area NW, which has not been discussed so far.

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Section: Research Challengementioning

confidence: 99%

“…In the second pattern, the computation of the SMT problem does not finish within a finite time (unknown). In our previous work [12], we proposed a method to partition the NW into some domains to solve the first problem (unsat). It reduced the rate of unschedulability due to timeslot collisions and improved the capacity ratio.…”

Section: Research Challengementioning

confidence: 99%