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All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control)
Muhammad Nadzir Marsono
Universiti Teknologi Malaysia
Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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An FPGA-based network system with service-uninterrupted remote functional update Tze Hon Tan; Chia Yee Ooi; Muhammad Nadzir Marsono
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i4.pp3222-3228

Abstract

The recent emergence of 5G network enables mass wireless sensors deployment for internet-of-things (IoT) applications. In many cases, IoT sensors in monitoring and data collection applications are required to operate continuously and active at all time (24/7) to ensure all data are sampled without loss. Field-programmable gate array (FPGA)-based systems exhibit a balanced processing throughput and datapath flexibility. Specifically, datapath flexibility is acquired from the FPGA-based system architecture that supports dynamic partial reconfiguration feature. However, device functional update can cause interruption to the application servicing, especially in an FPGA-based system. This paper presents a standalone FPGA-based system architecture that allows remote functional update without causing service interruption by adopting a redundancy mechanism in the application datapath. By utilizing dynamic partial reconfiguration, only the updating datapath is temporarily inactive while the rest of the circuitry, including the redundant datapath, remain active. Hence, there is no service interruption and downtime when a remote functional update takes place due to the existence of redundant application datapath, which is critical for network and communication systems. The proposed architecture has a significant impact for application in FPGA-based systems that have little or no tolerance in service interruption.
Impact of Packet Inter-arrival Time Features for Online Peer-to-Peer (P2P) Classification Bushra Mohammed Ali Abdalla; Mosab Hamdan; Mohammed Sultan Mohammed; Joseph Stephen Bassi; Ismahani Ismail; Muhammad Nadzir Marsono
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 4: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (910.388 KB) | DOI: 10.11591/ijece.v8i4.pp2521-2530

Abstract

Identification of bandwidth-heavy Internet traffic is important for network administrators to throttle high-bandwidth application traffic. Flow features based classification have been previously proposed as promising method to identify Internet traffic based on packet statistical features. The selection of statistical features plays an important role for accurate and timely classification. In this work, we investigate the impact of packet inter-arrival time feature for online P2P classification in terms of accuracy, Kappa statistic and time. Simulations were conducted using available traces from University of Brescia, University of Aalborg and University of Cambridge. Experimental results show that the inclusion of inter-arrival time (IAT) as an online feature increases simulation time and decreases classification accuracy and Kappa statistic.
Co-Authors Bushra Mohammed Ali Abdalla Chia Yee Ooi Ismahani Ismail Jia Wei Tang Joseph Stephen Bassi Mohammed Sultan Mohammed Mosab Hamdan Nasir Shaikh-Husin Tze Hon Tan Yuan Wen Hau