6 research outputs found

    ์ตœ์‹  ECU๋ณด๋“œ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์†Œํ”„ํŠธ์—๋Ÿฌ๋“ค์„ ์‹ค์‹œ๊ฐ„ ๋ณต๊ตฌํ•˜๋Š” ๊ธฐ๋ฒ•

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€, 2020. 8. ์ด์ฐฝ๊ฑด.This dissertation presents the fault-tolerant real-time scheduling using dynamic mode switch support of modern ECU hardware. This dissertation first describes the optimal capacity of the Periodic Resource which contains harmonic periodic task set using the exact time supply function.We show that the optimal capacity can be represented as sum of the each individual utilization of the task in the harmonic periodic task set for both normal state(i.e. no faults) and faulty state. Then, this dissertation proposes non-critical task overlapping technique by only using the idle time intervals of the Periodic Resource in order to overlap the non-critical tasks which ensures no additional capacity increase. Finally, this dissertation proposes the basic form of the Periodic Resources in order to efficiently use the dynamic mode switch support. Next, we also proposes the bin-packing heuristic algorithm that considers both making sub-taskset as a one Periodic Resource and Periodic Resource wide bin-packing which has the pseudo-polynomial time complexity. Experimental results show that the proposed algorithm performs better than the traditional partitioned fixed-priority scheduling approach and partitioned mixed-criticality scheduling approach. Also, the achievement is made up to 18% in terms of the total needed cores compared to traditional partitioned fixed-priority approach for making the given input task set schedulable.๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ํšจ์œจ์ ์ธ ์žฌ๊ตฌ์„ฑ๊ฐ€๋Šฅ ์‹œ์Šคํ…œ ์‚ฌ์šฉ์„ ์œ„ํ•œ ๊ณ„์ธต๊ธฐ๋ฐ˜ ์‹ค์‹œ๊ฐ„ ๊ฒฐํ•จ ๊ฐ๋‚ด ์Šค์ผ€์ค„๋ง ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฃผ๊ธฐ ์ž์› ๋ชจ๋ธ์„ ๊ธฐ๋ฐ˜์œผ๋กœ, ์ตœ์  ์ฃผ๊ธฐ ์ž์› ์„œ๋ฒ„์˜ ์šฉ๋Ÿ‰์„ ์ฃผ๊ธฐ ์ž์› ๋ชจ๋ธ์ด ๊ฐ€์ง€๋Š” ์‹ค์‹œ๊ฐ„ ์ฃผ๊ธฐ ํƒœ์Šคํฌ ์…‹์˜ ์œ ํ‹ธ๋ผ์ด์ œ์ด์…˜์˜ ํ•ฉ์œผ๋กœ ์ œ์‹œํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ํ•ด๋‹น ์ตœ์  ์„œ๋ฒ„ ์šฉ๋Ÿ‰์„ ์‹œ์Šคํ…œ์ด ์ •์ƒ ๋™์ž‘ํ• ๋•Œ์™€ ์˜ค๋™์ž‘ ํ• ๋•Œ ๋ชจ๋‘์— ๋Œ€ํ•ด์„œ ์ œ์‹œํ•œ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ๋น„์ค‘์š” ํƒœ์Šคํฌ ์…‹๋“ค์„ ์ค‘์š” ์ฃผ๊ธฐ ์ž์› ์„œ๋ฒ„์˜ ์—ฌ๋ถ„ ๊ณต๋ฐฑ ์‹œ๊ฐ„์„ ํ™œ์šฉํ•ด ์„œ๋ฒ„ ์šฉ๋Ÿ‰์˜ ์ฆ๊ฐ€ ์—†์ด ๋น„์ค‘์š” ํƒœ์Šคํฌ๋ฅผ ์ค‘์š” ์ฃผ๊ธฐ ์ž์› ์„œ๋ฒ„์— ํ• ๋‹นํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋ณธ ๋…ผ๋ฌธ์€ ์ฃผ๊ธฐ ์ž์› ์„œ๋ฒ„ ๋‹จ์œ„์˜ ํŒŒํ‹ฐ์…˜ ๊ธฐ๋ฒ•๊ณผ ์ฃผ๊ธฐ ํƒœ์Šคํฌ๋ฅผ ํ•˜๋‚˜์˜ ์ฃผ๊ธฐ ์ž์› ์„œ๋ฒ„๋กœ ๋งŒ๋“œ๋Š” ๋นˆํŒจํ‚น ํœด๋ฆฌ์Šคํ‹ฑ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์‹œํ•œ๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ, ๋ณธ ๋…ผ๋ฌธ์—์„œ ์ œ์‹œํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ๊ธฐ์กด์— ์‚ฌ์šฉ๋˜์—ˆ๋˜ ํŒŒํ‹ฐ์…˜ ๊ธฐ๋ฐ˜ ์šฐ์„ ์ˆœ์œ„ ์Šค์ผ€์ค„๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ ํŒŒํ‹ฐ์…˜ ๊ธฐ๋ฐ˜ ์šฐ์„ ์ˆœ์œ„ ํ˜ผ์žก ์ค‘์š”๋„ ์•Œ๊ณ ๋ฆฌ์ฆ˜๋ณด๋‹ค ๋” ์ž‘์€ ์ˆ˜์˜ ์ฝ”์–ด์˜ ๊ฐœ์ˆ˜๋ฅผ ๋„์ถœ ํ•  ์ˆ˜ ์žˆ์Œ์„ ๋ณด์ธ๋‹ค. ์‹คํ—˜๊ฒฐ๊ณผ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ์—์„œ ์ œ์•ˆํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์žฌ๊ตฌ์„ฑ๊ฐ€๋Šฅ ์‹œ์Šคํ…œ์— ํ™œ์šฉํ•œ๋‹ค๋ฉด ๊ธฐ์กด ๋ฐฉ๋ฒ• ๋Œ€๋น„ ์ตœ๋Œ€ 18%์˜ ์ฝ”์–ด์ ˆ๊ฐํšจ๊ณผ๋ฅผ ๊ธฐ๋Œ€ํ• ์ˆ˜ ์žˆ๋‹ค.1 Introduction 1 1.1 Motivation and Objective 1 1.2 Approach 2 1.3 Organization 6 2 System Model 7 3 Schedulability Analysis 10 3.1 Background 10 3.2 Optimal Capacity Analysis During Normal State 14 3.3 Optimal Capacity Analysis During Fault State 16 3.4 Periodic Resource Wide Schedulability Test 20 3.5 Non-Critical Task Overlapping 24 4 Proposed Approach 26 4.1 Minimum Harmonic Partitions of the Task Set 26 4.2 Proposed Heuristic Algorithm 28 4.2.1 Choosing Detection method 28 4.2.2 Packing Minimum Harmonic Partitions 29 4.2.3 Packing Free Tasks 30 4.2.4 Packing Non-Critical Tasks 31 4.3 Algorithm Description 32 5 Evaluation 35 5.1 Experimental Setup 35 5.2 Simulation Results 36 5.2.1 Free Task Bin-Packing 38 5.2.2 Minimum Harmonic Partitions Bin-Packing 40 5.2.3 Effect of Non-Critical Task Overlapping 43 5.2.4 Effect of State-Wise Computation 45 6 Related Works 46 6.1 Hierarchical Fault-Tolerant Real-Time Scheduling 46 6.2 Error Detection Method 46 7 Conclusion 48 References 50Maste

    A Survey of Research into Mixed Criticality Systems

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    This survey covers research into mixed criticality systems that has been published since Vestalโ€™s seminal paper in 2007, up until the end of 2016. The survey is organised along the lines of the major research areas within this topic. These include single processor analysis (including fixed priority and EDF scheduling, shared resources and static and synchronous scheduling), multiprocessor analysis, realistic models, and systems issues. The survey also explores the relationship between research into mixed criticality systems and other topics such as hard and soft time constraints, fault tolerant scheduling, hierarchical scheduling, cyber physical systems, probabilistic real-time systems, and industrial safety standards

    Timing Predictability in Future Multi-Core Avionics Systems

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    On the Scheduling of Fault-Tolerant Mixed-Criticality Systems

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    On the scheduling of fault-tolerant mixed-criticality systems

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