Wireless network on-chips history-based traffic prediction for token flow control and allocation
Wireless network-on-chip (WiNoC) uses a wireless backbone on top of the traditional wired-based NoC which demonstrated high scalability. WiNoC introduces long-range single-hop link connecting distanced core and high bandwidth radio frequency interconnects that reduces multi-hop communication in conv...
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2019
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| Online Access: | http://eprints.utm.my/85272/1/ShahrizalRusli2019_WirelessNetworkon-ChipsHistory.pdf |
| _version_ | 1796864012037652480 |
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| author | Fasiku, Ayodeji Ireti Lit, Asrani Numan, Paulson Eberechukwu Rusli, Shahrizal Marsono, Muhammad Nadzir |
| author_facet | Fasiku, Ayodeji Ireti Lit, Asrani Numan, Paulson Eberechukwu Rusli, Shahrizal Marsono, Muhammad Nadzir |
| author_sort | Fasiku, Ayodeji Ireti |
| collection | ePrints |
| description | Wireless network-on-chip (WiNoC) uses a wireless backbone on top of the traditional wired-based NoC which demonstrated high scalability. WiNoC introduces long-range single-hop link connecting distanced core and high bandwidth radio frequency interconnects that reduces multi-hop communication in conventional wired-based NoC. However, to ensure full benefits of WiNoC technology, there is a need for fair and efficient Medium Access Control (MAC) mechanism to enhance communication in the wireless Network-on-Chip. To adapt to the varying traffic demands from the applications running on a multicore environment, MAC mechanisms should dynamically adjust the transmission slots of the wireless interfaces (WIs), to ensure efficient utilization of the wireless medium in a WiNoC. This work presents a prediction model that improves MAC mechanism to predict the traffic demand of the WIs and respond accordingly by adjusting transmission slots of the WIs. This research aims to reduce token waiting time and inefficient decision making for radio hub-to-hub communication and congestion-aware routing in WiNoC to enhance end to end latency. Through system level simulation, we will show that the dynamic MAC using an History-based prediction mechanism can significantly improve the performance of a WiNoC in terms of latency and network throughput compared to the state-of-the-art dynamic MAC mechanisms. |
| first_indexed | 2024-03-05T20:35:26Z |
| format | Article |
| id | utm.eprints-85272 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:35:26Z |
| publishDate | 2019 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-852722020-03-17T08:10:26Z http://eprints.utm.my/85272/ Wireless network on-chips history-based traffic prediction for token flow control and allocation Fasiku, Ayodeji Ireti Lit, Asrani Numan, Paulson Eberechukwu Rusli, Shahrizal Marsono, Muhammad Nadzir TK Electrical engineering. Electronics Nuclear engineering Wireless network-on-chip (WiNoC) uses a wireless backbone on top of the traditional wired-based NoC which demonstrated high scalability. WiNoC introduces long-range single-hop link connecting distanced core and high bandwidth radio frequency interconnects that reduces multi-hop communication in conventional wired-based NoC. However, to ensure full benefits of WiNoC technology, there is a need for fair and efficient Medium Access Control (MAC) mechanism to enhance communication in the wireless Network-on-Chip. To adapt to the varying traffic demands from the applications running on a multicore environment, MAC mechanisms should dynamically adjust the transmission slots of the wireless interfaces (WIs), to ensure efficient utilization of the wireless medium in a WiNoC. This work presents a prediction model that improves MAC mechanism to predict the traffic demand of the WIs and respond accordingly by adjusting transmission slots of the WIs. This research aims to reduce token waiting time and inefficient decision making for radio hub-to-hub communication and congestion-aware routing in WiNoC to enhance end to end latency. Through system level simulation, we will show that the dynamic MAC using an History-based prediction mechanism can significantly improve the performance of a WiNoC in terms of latency and network throughput compared to the state-of-the-art dynamic MAC mechanisms. Penerbit UTM Press 2019 Article PeerReviewed application/pdf en http://eprints.utm.my/85272/1/ShahrizalRusli2019_WirelessNetworkon-ChipsHistory.pdf Fasiku, Ayodeji Ireti and Lit, Asrani and Numan, Paulson Eberechukwu and Rusli, Shahrizal and Marsono, Muhammad Nadzir (2019) Wireless network on-chips history-based traffic prediction for token flow control and allocation. Journal of Electrical Engineering, 18 (3). pp. 21-26. ISSN 0128-4428 https://dx.doi.org/10.11113/elektrika.v18n3.162 DOI:10.11113/elektrika.v18n3.162 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Fasiku, Ayodeji Ireti Lit, Asrani Numan, Paulson Eberechukwu Rusli, Shahrizal Marsono, Muhammad Nadzir Wireless network on-chips history-based traffic prediction for token flow control and allocation |
| title | Wireless network on-chips history-based traffic prediction for token flow control and allocation |
| title_full | Wireless network on-chips history-based traffic prediction for token flow control and allocation |
| title_fullStr | Wireless network on-chips history-based traffic prediction for token flow control and allocation |
| title_full_unstemmed | Wireless network on-chips history-based traffic prediction for token flow control and allocation |
| title_short | Wireless network on-chips history-based traffic prediction for token flow control and allocation |
| title_sort | wireless network on chips history based traffic prediction for token flow control and allocation |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/85272/1/ShahrizalRusli2019_WirelessNetworkon-ChipsHistory.pdf |
| work_keys_str_mv | AT fasikuayodejiireti wirelessnetworkonchipshistorybasedtrafficpredictionfortokenflowcontrolandallocation AT litasrani wirelessnetworkonchipshistorybasedtrafficpredictionfortokenflowcontrolandallocation AT numanpaulsoneberechukwu wirelessnetworkonchipshistorybasedtrafficpredictionfortokenflowcontrolandallocation AT ruslishahrizal wirelessnetworkonchipshistorybasedtrafficpredictionfortokenflowcontrolandallocation AT marsonomuhammadnadzir wirelessnetworkonchipshistorybasedtrafficpredictionfortokenflowcontrolandallocation |