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An efficient scheduler must ensure a good trade-off between efficiency and fairness in the system (according to the service needs of each user) by fully utilizing the available radio resources.
We propose a rerooting method to minimize the critical path for exact inference, and an efficient scheduler to dynamically allocate SPEs.
In this article, we propose the integration of an intelligent memory system and efficient scheduler in the HLS-based multi-accelerator environment called Advanced Multi-accelerator Controller (AMC).
Based on intra-access category prioritisation (IACP), SCS is equipped with a pair of access category (AC) queues to differentiate real-time and non-real-time video streams, namely (AC_VI, AAC_VI), and thus introduces the need for an efficient scheduler design; similarly for audio.
In this study, the proposed cross-layer design also adopts the EPL index as the importance scheme of video packets to help the design of an efficient scheduler between the (primary, alternative) queues of the video access category before passing them to VI-EDCAF, where the primary queue (i.e. AC_VI) buffers real-time video packets and the alternative queue (i.e. AAC_VI) buffers non-real-time ones.
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We chose genetic algorithms because their robustness and efficiency for the design of efficient schedulers have been largely proven in the literature [8],[9].
We use this model to design EFS (Energy-Friendly Scheduler), a new energy-efficient scheduler, which schedules new threads only when the benefit of the added throughput outweighs the cost of powering up additional cores.
It has been observed that most of the energy efficient schedulers do not take into account the network and traffic [19].
The resulting energy-efficient scheduler jointly performs: (i) admission control of the input traffic to be processed by the NetFCs; (ii) minimum-energy dispatching of the admitted traffic; (iii) adaptive reconfiguration and consolidation of the Virtual Machines (VMs) hosted by the NetFCs; and, (iv) adaptive control of the traffic injected into the TCP/IP mobile connections.
Three relevant energy-efficient schedulers are introduced: round robin (RR), best channel quality indicator (BCQI), and proportional fair (PF).
Finally, a maximum of one PRB is assigned to each user, and three energy-efficient schedulers are obtained: energy-efficient round robin (EERR), energy-efficient proportional fair (EEPF), and energy-efficient best channel quality indicator (EEBCQI).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com