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QoE Enhancement of Task Scheduling Algorithm for VANET Applications

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Book cover Wireless Algorithms, Systems, and Applications (WASA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10251))

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Abstract

Providing support for high Quality of Experience for VANETs applications is a significant challenge. Needless inter-core communications in a multi-core processor can affect the real-time response of the tasks. To solve this problem, DRS-V, a data related scheduling algorithm for VANETs (Vehicular Ad Hoc Networks) applications, is proposed in this paper, with considering the multi-task concurrency mechanism in VANETs. According to the tasks and the task parameters in a VANET, a task model is built based on data correlation, to look into correlation between the tasks. Finally, via experiment and simulation, it is verified that DRS-V, compared to load balance algorithm, can shorten the delay caused by inter-core communications.

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Acknowledgement

This work was supported in part by the National Science Foundation of China No. 61471084 and the Open Program of State Key Laboratory of Software Architecture No. SKLSA2016B-02.

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Correspondence to Nan Ding .

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Ding, N., Nie, S., Si, H., Gao, H. (2017). QoE Enhancement of Task Scheduling Algorithm for VANET Applications. In: Ma, L., Khreishah, A., Zhang, Y., Yan, M. (eds) Wireless Algorithms, Systems, and Applications. WASA 2017. Lecture Notes in Computer Science(), vol 10251. Springer, Cham. https://doi.org/10.1007/978-3-319-60033-8_30

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  • DOI: https://doi.org/10.1007/978-3-319-60033-8_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60032-1

  • Online ISBN: 978-3-319-60033-8

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