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A security-aware hardware scheduler for modern multi-core systems with hard real-time constraints

Norollah, Amin (författare)
Iran University Of Science And Technology, Tehran, Iran
Beitollahi, Hakem (författare)
Iran University Of Science And Technology, Tehran, Iran
Kazemi, Zahra (författare)
Lcis, Valence, France
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Fazeli, Mahdi, 1979- (författare)
Högskolan i Halmstad,Akademin för informationsteknologi
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 (creator_code:org_t)
Amsterdam : Elsevier, 2022
2022
Engelska.
Ingår i: Microprocessors and microsystems. - Amsterdam : Elsevier. - 0141-9331 .- 1872-9436. ; 95
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • In this paper, we propose an online security-aware hardware scheduler, the so-called Secure And Fast hardware Scheduler (SAFAS), for real-time task scheduling in multi-core systems in the presence of schedule-based side-channel attacks. To avoid such attacks and ensure that all tasks meet their deadlines, SAFAS schedules critical tasks and their replicas using a hardware-based strict Least Slack Time first (LST) algorithm independently while it independently schedules the non-critical tasks using a hardware-based EDF algorithm. SAFAS enhances the system performance and reduces the chance of side-channel attacks due to the different processing cores allocated to each task in each scheduling interval. The hardware scheduler operates independently and in parallel with the multi-core system and hides the scheduling characteristics from adversaries. The software-based Earliest Deadline First (EDF) algorithm is also used for schedulability tests and feasibility analysis of hard real-time periodic tasks to maximize the number of tasks scheduled successfully in the multi-core system. SAFAS has been synthesized and simulated on a Xilinx Vivado 2018.2 and implemented on a Spartan-7 FPGA chip. Our experimental results indicate that SAFAS increases the performance of the system by 4.8 times as compared to previous state-of-the-art hardware schedulers while guaranteeing that all critical tasks and their replicas meet their deadlines. © 2022 Elsevier B.V.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Engineering (hsv//eng)

Nyckelord

FPGA
Hardware accelerator
Hardware sorter
High performance
Parallel sorting
Resource Efficient
Sorting network

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