4 Search Results for "Audsley, Neil"


Document
Errata for Three Papers (2004-05) on Fixed-Priority Scheduling with Self-Suspensions

Authors: Konstantinos Bletsas, Neil C. Audsley, Wen-Hung Huang, Jian-Jia Chen, and Geoffrey Nelissen

Published in: LITES, Volume 5, Issue 1 (2018). Leibniz Transactions on Embedded Systems, Volume 5, Issue 1


Abstract
The purpose of this article is to (i) highlight the flaws in three previously published works [Audsley, 2004a; Audsley, 2004b; Bletsas, 2005] on the worst-case response time analysis for tasks with self-suspensions and (ii) provide straightforward fixes for those flaws, hence rendering the analysis safe.

Cite as

Konstantinos Bletsas, Neil C. Audsley, Wen-Hung Huang, Jian-Jia Chen, and Geoffrey Nelissen. Errata for Three Papers (2004-05) on Fixed-Priority Scheduling with Self-Suspensions. In LITES, Volume 5, Issue 1 (2018). Leibniz Transactions on Embedded Systems, Volume 5, Issue 1, pp. 02:1-02:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)


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@Article{bletsas_et_al:LITES-v005-i001-a002,
  author =	{Bletsas, Konstantinos and Audsley, Neil C. and Huang, Wen-Hung and Chen, Jian-Jia and Nelissen, Geoffrey},
  title =	{{Errata for Three Papers (2004-05) on Fixed-Priority Scheduling with Self-Suspensions}},
  journal =	{Leibniz Transactions on Embedded Systems},
  pages =	{02:1--02:20},
  ISSN =	{2199-2002},
  year =	{2018},
  volume =	{5},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LITES-v005-i001-a002},
  doi =		{10.4230/LITES-v005-i001-a002},
  annote =	{Keywords: real-time, scheduling, self-suspension, worst-case response time analysis}
}
Document
Dynamic and Static Task Allocation for Hard Real-Time Video Stream Decoding on NoCs

Authors: Hashan R. Mendis, Neil C. Audsley, and Leandro Soares Indrusiak

Published in: LITES, Volume 4, Issue 2 (2017). Leibniz Transactions on Embedded Systems, Volume 4, Issue 2


Abstract
Hard real-time (HRT) video systems require admission control decisions that rely on two factors. Firstly, schedulability analysis of the data-dependent, communicating tasks within the application need to be carried out in order to guarantee timing and predictability. Secondly, the allocation of the tasks to multi-core processing elements would generate different results in the schedulability analysis. Due to the conservative nature of the state-of-the-art schedulability analysis of tasks and message flows, and the unpredictability in the application, the system resources are often under-utilised. In this paper we propose two blocking-aware dynamic task allocation techniques that exploit application and platform characteristics, in order to increase the number of simultaneous, fully schedulable, video streams handled by the system. A novel, worst-case response time aware, search-based, static hard real-time task mapper is introduced to act as an upper-baseline to the proposed techniques. Further evaluations are carried out against existing heuristic-based dynamic mappers. Improvements to the admission rates and the system utilisation under a range of different workloads and platform sizes are explored.

Cite as

Hashan R. Mendis, Neil C. Audsley, and Leandro Soares Indrusiak. Dynamic and Static Task Allocation for Hard Real-Time Video Stream Decoding on NoCs. In LITES, Volume 4, Issue 2 (2017). Leibniz Transactions on Embedded Systems, Volume 4, Issue 2, pp. 01:1-01:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)


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@Article{mendis_et_al:LITES-v004-i002-a001,
  author =	{Mendis, Hashan R. and Audsley, Neil C. and Indrusiak, Leandro Soares},
  title =	{{Dynamic and Static Task Allocation for Hard Real-Time Video Stream Decoding on NoCs}},
  journal =	{Leibniz Transactions on Embedded Systems},
  pages =	{01:1--01:25},
  ISSN =	{2199-2002},
  year =	{2017},
  volume =	{4},
  number =	{2},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LITES-v004-i002-a001},
  doi =		{10.4230/LITES-v004-i002-a001},
  annote =	{Keywords: Real-time multimedia, Task mapping, Network-on-chip}
}
Document
VCDC: The Virtualized Complicated Device Controller

Authors: Zhe Jiang and Neil Audsley

Published in: LIPIcs, Volume 76, 29th Euromicro Conference on Real-Time Systems (ECRTS 2017)


Abstract
I/O virtualization enables time and space multiplexing of I/O devices, by mapping multiple logical I/O devices upon a smaller number of physical devices. However, due to the existence of additional virtualization layers, requesting an I/O from a guest virtual machine requires complicated sequences of operations. This leads to I/O performance losses, and makes precise timing of I/O operations unpredictable. This paper proposes a hardware I/O virtualization system, termed the Virtualized Complicated Device Controller (VCDC). This I/O system allows user applications to access and operate I/O devices directly from guest VMs, and bypasses the guest OS, the Virtual Machine Monitor (VMM) and low layer I/O drivers. We show that the VCDC efficiently reduces the software overhead and enhances the I/O performance and timing predictability. Furthermore, VCDC also exhibits good scalability that can handle I/O requests from variable number of CPUs in a system.

Cite as

Zhe Jiang and Neil Audsley. VCDC: The Virtualized Complicated Device Controller. In 29th Euromicro Conference on Real-Time Systems (ECRTS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 76, pp. 5:1-5:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017)


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@InProceedings{jiang_et_al:LIPIcs.ECRTS.2017.5,
  author =	{Jiang, Zhe and Audsley, Neil},
  title =	{{VCDC: The Virtualized Complicated Device Controller}},
  booktitle =	{29th Euromicro Conference on Real-Time Systems (ECRTS 2017)},
  pages =	{5:1--5:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-037-8},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{76},
  editor =	{Bertogna, Marko},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2017.5},
  URN =		{urn:nbn:de:0030-drops-71501},
  doi =		{10.4230/LIPIcs.ECRTS.2017.5},
  annote =	{Keywords: Many-core System, I/O Virtualization, Real-time I/O, Hardware Manager}
}
Document
Traces as a Solution to Pessimism and Modeling Costs in WCET Analysis

Authors: Jack Whitham and Neil Audsley

Published in: OASIcs, Volume 8, 8th International Workshop on Worst-Case Execution Time Analysis (WCET'08) (2008)


Abstract
WCET analysis models for superscalar out-of-order CPUs generally need to be pessimistic in order to account for a wide range of possible dynamic behavior. CPU hardware modifications could be used to constrain operations to known execution paths called traces, permitting exploitation of instruction level parallelism with guaranteed timing. Previous implementations of traces have used microcode to constrain operations, but other possibilities exist. A new implementation strategy (virtual traces) is introduced here. In this paper the benefits and costs of traces are discussed. Advantages of traces include a reduction in pessimism in WCET analysis, with the need to accurately model CPU internals removed. Disadvantages of traces include a reduction of peak throughput of the CPU, a need for deterministic memory and a potential increase in the complexity of WCET models.

Cite as

Jack Whitham and Neil Audsley. Traces as a Solution to Pessimism and Modeling Costs in WCET Analysis. In 8th International Workshop on Worst-Case Execution Time Analysis (WCET'08). Open Access Series in Informatics (OASIcs), Volume 8, pp. 1-8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)


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@InProceedings{whitham_et_al:OASIcs.WCET.2008.1666,
  author =	{Whitham, Jack and Audsley, Neil},
  title =	{{Traces as a Solution to Pessimism and Modeling Costs in WCET Analysis}},
  booktitle =	{8th International Workshop on Worst-Case Execution Time Analysis (WCET'08)},
  pages =	{1--8},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-10-1},
  ISSN =	{2190-6807},
  year =	{2008},
  volume =	{8},
  editor =	{Kirner, Raimund},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2008.1666},
  URN =		{urn:nbn:de:0030-drops-16666},
  doi =		{10.4230/OASIcs.WCET.2008.1666},
  annote =	{Keywords: WCET superscalar cpu virtual traces}
}
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