Probabilistic real-time scheduling. Liliana CUCU-GROSJEAN. TRIO team, INRIA Nancy-Grand Est

Size: px
Start display at page:

Download "Probabilistic real-time scheduling. Liliana CUCU-GROSJEAN. TRIO team, INRIA Nancy-Grand Est"

Transcription

1 Probabilistic real-time scheduling Liliana CUCU-GROSJEAN TRIO team, INRIA Nancy-Grand Est

2 Outline What is a probabilistic real-time system? Relation between pwcet and pet Response time analysis Optimal fixed-priority scheduling algorithms How do we get the distributions?

3 What is a probabilistic real-time system? τ i (O i,c i,t i, D i ) (O i,c i,t i, D i ) C i =! # " $ & % Fixed-priority scheduling Preemption allowed 1 processor P( R i > D ) i < ε

4 What is a probabilistic real-time system? (2) (O i, C i,t i, D i ) C 2 =! # " $ & %

5 Probabilistic execution time (pet) The pet of the job of a task describes the probability that the execution time of the job is equal to a given value C j i = the execution time of the j th job of The execution time of j th job of the i th task has a probability of 0.7 of being 2

6 Probabilistic Worst Case Execution Time (pwcet) The pwcet of a task describes the probability that the worst-case execution time of the task is equal to a given value C 2 = The worst-case execution time of the i th task has a probability of 0.75 of being 2

7 Relation between pwcet and pet A safe pwcet is an upper bound on the pets pets C i, 8 C i C j i, 8j. ays under the

8 Outline What is a probabilistic real-time system? Relation between pwcet and pet Response time analysis Optimal fixed-priority scheduling algorithms How do we get the distributions?

9 Reponse time analysis [Diaz02] It requires probabilistical independence R i j = B i (λ i, j ) I(λ i, j ) C i j If pwcets are used, then the random variables are probabilistically independent If pets are used, then the random variables may be dependent

10 Convolution It requires probabilistical independence! # " $! & # 0 4 % " $ & = %! # " $ & % R i j = B i (λ i, j ) I(λ i, j ) C i j

11 Backlog The sum of the remaining execution times of all jobs that didn t complete their execution at λ i, j Adding the new arrival at the existing backlog Shrinking the obtained random variable R i j = B i (λ i, j ) I(λ i, j ) C i j

12 An (historical) example f W P t 3/9 f C 1/3 1/3 1/3 1/9 2/9 1/18 3/18 1/18 1/ w r hat job is shown in the box) f W P f t C 6/27 11/545/27 10/27 f W P t 0 3/27 5/54 2/27 1/27 1/54 1/54 1/54 1/ t 0 t w 11/54 5/27 5/54 2/27 1/54 1/54 1/54 1/ w

13 Outline What is a probabilistic real-time system? Relation between pwcet and pet Response time analysis Optimal fixed-priority scheduling algorithms How do we get the distributions?

14 Optimal (task) fixed-priority scheduler Rate Monotic is not optimal ## τ 1 = % 1& & ## 3 4 & & % (,2,2,40%( τ $ $ 1 2 = %% (,6,6,30%( ' ' $ $ ' '

15 Optimal (task) fixed-priority scheduler (2) A feasible task fixed-priority assignement ## τ 1 = % 1& & ## 3 4 & & % (,2,2,40%( τ $ $ 1 2 = %% (,6,6,30%( ' ' $ $ ' '

16 Optimal (task) fixed-priority scheduler (3) Theorem (Maxim,2011) The order of higher priority tasks does not have any impact on the probability of missing the deadline of a task Audsley reasoning may be proposed

17 Outline What is a probabilistic real-time system? Relation between pwcet and pet Response time analysis Optimal fixed-priority scheduling algorithms How do we get the distributions?

18 18 How do we get the distributions? pwcet estimate may be obtained by applying Extreme Value Theory (EVT) Central limit theory for tails Used previously: flood estimation, wear estimation, finance F X (x) 1 CDF pwcet X 2 < X 1 X 3 < X 1 X 3 6< X 2 X 2 6< X 3 O 1 O j X 1 X 2 X 3 x

19 19 Extreme Value Theory (MBPTA) The input of EVT are the observations of the target system EVT requires I.i.d. hypotheses for the observations Good understanding of hardware platform, compiler and operating system Generalized Extreme Value based on block maxima

20 MBPTA* Steps of applying Extreme Value Theory (EVT) Observations Sampling EVT More runs Fitting Comparison Observations EVT Convergence criteria Tail extension Convergence CRPS EVT Fitting I.i.d tests passed/not passed passed/not passed *ECRTS 2012

21 Conclusion What is a probabilistic real-time system? Relation between pwcet and pet Response time analysis Optimal fixed-priority scheduling algorithms How do we get the distributions?

22 Thank you for your attention

23 7th Junior Researcher Workshop on Real-Time Computing (JRWRTC 2013) Important dates Submission deadline: Sept. 8 th, 2013 Notification of acceptance: Sept. 15 th, 2013 Final manuscript due: Sept. 25 th, 2013 Conference: Oct. 16 th -18 th, 2013

Probabilistic Analysis for Mixed Criticality Scheduling with SMC and AMC

Probabilistic Analysis for Mixed Criticality Scheduling with SMC and AMC Probabilistic Analysis for Mixed Criticality Scheduling with SMC and AMC Dorin Maxim 1, Robert I. Davis 1,2, Liliana Cucu-Grosjean 1, and Arvind Easwaran 3 1 INRIA, France 2 University of York, UK 3 Nanyang

More information

Response Time Analysis for Fixed-Priority Tasks with Multiple Probabilistic Parameters

Response Time Analysis for Fixed-Priority Tasks with Multiple Probabilistic Parameters Response Time Analysis for Fixed-Priority Tasks with Multiple Probabilistic Parameters Dorin Maxim 1,2,3, Liliana Cucu-Grosjean 1,2,3 1 Universite de Lorraine, LORIA, UMR 7503, F-54506, France 2 CNRS,

More information

Probabilistic Analysis for Mixed Criticality Systems using Fixed Priority Preemptive Scheduling

Probabilistic Analysis for Mixed Criticality Systems using Fixed Priority Preemptive Scheduling Probabilistic Analysis for Mixed Criticality Systems using Fixed Priority Preemptive Scheduling Dorin Maxim LORIA - University of Lorraine, Nancy, France dorin.maxim@loria.fr Liliana Cucu-Grosjean Inria,

More information

Probabilistic Analysis for Mixed Criticality Systems using Fixed Priority Preemptive Scheduling

Probabilistic Analysis for Mixed Criticality Systems using Fixed Priority Preemptive Scheduling Probabilistic Analysis for Mixed Criticality Systems using Fixed Priority Preemptive Scheduling Dorin Maxim LORIA - University of Lorraine, Nancy, France dorin.maxim@loria.fr Liliana Cucu-Grosjean Inria,

More information

Some ideas and open problems in real-time stochastic scheduling. Liliana CUCU, TRIO team, Nancy, France

Some ideas and open problems in real-time stochastic scheduling. Liliana CUCU, TRIO team, Nancy, France Some ideas and open problems in real-time stochastic scheduling Liliana CUCU, TRIO team, Nancy, France Real-time systems Reactive systems Correct reaction Temporal constraints Gotha-- Liliana CUCU - 04/04/2008

More information

Andrew Morton University of Waterloo Canada

Andrew Morton University of Waterloo Canada EDF Feasibility and Hardware Accelerators Andrew Morton University of Waterloo Canada Outline 1) Introduction and motivation 2) Review of EDF and feasibility analysis 3) Hardware accelerators and scheduling

More information

Non-Preemptive and Limited Preemptive Scheduling. LS 12, TU Dortmund

Non-Preemptive and Limited Preemptive Scheduling. LS 12, TU Dortmund Non-Preemptive and Limited Preemptive Scheduling LS 12, TU Dortmund 09 May 2017 (LS 12, TU Dortmund) 1 / 31 Outline Non-Preemptive Scheduling A General View Exact Schedulability Test Pessimistic Schedulability

More information

Probabilistic Deadline Miss Analysis of Real-Time Systems Using Regenerative Transient Analysis

Probabilistic Deadline Miss Analysis of Real-Time Systems Using Regenerative Transient Analysis Probabilistic Deadline Miss Analysis of Real-Time Systems Using Regenerative Transient Analysis L. Carnevali 1, A. Melani 2, L. Santinelli 3, G. Lipari 4 1 Department of Information Engineering, University

More information

Probabilistic Schedulability Analysis for Fixed Priority Mixed Criticality Real-Time Systems

Probabilistic Schedulability Analysis for Fixed Priority Mixed Criticality Real-Time Systems Probabilistic Schedulability Analysis for Fixed Priority Mixed Criticality Real-Time Systems Yasmina Abdeddaïm Université Paris-Est, LIGM, ESIEE Paris, France Dorin Maxim University of Lorraine, LORIA/INRIA,

More information

Re-Sampling for Statistical Timing Analysis of Real-Time Systems

Re-Sampling for Statistical Timing Analysis of Real-Time Systems Re-Sampling for Statistical Timing Analysis of Real-Time Systems Dorin Maxim, Michael Houston, Luca Santinelli, Guillem Bernat, Robert Davis, Liliana Cucu To cite this version: Dorin Maxim, Michael Houston,

More information

Scheduling Lecture 1: Scheduling on One Machine

Scheduling Lecture 1: Scheduling on One Machine Scheduling Lecture 1: Scheduling on One Machine Loris Marchal 1 Generalities 1.1 Definition of scheduling allocation of limited resources to activities over time activities: tasks in computer environment,

More information

Scheduling Periodic Real-Time Tasks on Uniprocessor Systems. LS 12, TU Dortmund

Scheduling Periodic Real-Time Tasks on Uniprocessor Systems. LS 12, TU Dortmund Scheduling Periodic Real-Time Tasks on Uniprocessor Systems Prof. Dr. Jian-Jia Chen LS 12, TU Dortmund 08, Dec., 2015 Prof. Dr. Jian-Jia Chen (LS 12, TU Dortmund) 1 / 38 Periodic Control System Pseudo-code

More information

Real-time Scheduling of Periodic Tasks (2) Advanced Operating Systems Lecture 3

Real-time Scheduling of Periodic Tasks (2) Advanced Operating Systems Lecture 3 Real-time Scheduling of Periodic Tasks (2) Advanced Operating Systems Lecture 3 Lecture Outline The rate monotonic algorithm (cont d) Maximum utilisation test The deadline monotonic algorithm The earliest

More information

Segment-Fixed Priority Scheduling for Self-Suspending Real-Time Tasks

Segment-Fixed Priority Scheduling for Self-Suspending Real-Time Tasks Segment-Fixed Priority Scheduling for Self-Suspending Real-Time Tasks Junsung Kim, Björn Andersson, Dionisio de Niz, and Raj Rajkumar Carnegie Mellon University 2/31 Motion Planning on Self-driving Parallel

More information

The preemptive uniprocessor scheduling of mixed-criticality implicit-deadline sporadic task systems

The preemptive uniprocessor scheduling of mixed-criticality implicit-deadline sporadic task systems The preemptive uniprocessor scheduling of mixed-criticality implicit-deadline sporadic task systems Sanjoy Baruah 1 Vincenzo Bonifaci 2 3 Haohan Li 1 Alberto Marchetti-Spaccamela 4 Suzanne Van Der Ster

More information

Non-preemptive Fixed Priority Scheduling of Hard Real-Time Periodic Tasks

Non-preemptive Fixed Priority Scheduling of Hard Real-Time Periodic Tasks Non-preemptive Fixed Priority Scheduling of Hard Real-Time Periodic Tasks Moonju Park Ubiquitous Computing Lab., IBM Korea, Seoul, Korea mjupark@kr.ibm.com Abstract. This paper addresses the problem of

More information

Lecture 13. Real-Time Scheduling. Daniel Kästner AbsInt GmbH 2013

Lecture 13. Real-Time Scheduling. Daniel Kästner AbsInt GmbH 2013 Lecture 3 Real-Time Scheduling Daniel Kästner AbsInt GmbH 203 Model-based Software Development 2 SCADE Suite Application Model in SCADE (data flow + SSM) System Model (tasks, interrupts, buses, ) SymTA/S

More information

Embedded Systems Development

Embedded Systems Development Embedded Systems Development Lecture 3 Real-Time Scheduling Dr. Daniel Kästner AbsInt Angewandte Informatik GmbH kaestner@absint.com Model-based Software Development Generator Lustre programs Esterel programs

More information

There are three priority driven approaches that we will look at

There are three priority driven approaches that we will look at Priority Driven Approaches There are three priority driven approaches that we will look at Earliest-Deadline-First (EDF) Least-Slack-Time-first (LST) Latest-Release-Time-first (LRT) 1 EDF Earliest deadline

More information

EDF Scheduling. Giuseppe Lipari May 11, Scuola Superiore Sant Anna Pisa

EDF Scheduling. Giuseppe Lipari   May 11, Scuola Superiore Sant Anna Pisa EDF Scheduling Giuseppe Lipari http://feanor.sssup.it/~lipari Scuola Superiore Sant Anna Pisa May 11, 2008 Outline 1 Dynamic priority 2 Basic analysis 3 FP vs EDF 4 Processor demand bound analysis Generalization

More information

Embedded Systems 15. REVIEW: Aperiodic scheduling. C i J i 0 a i s i f i d i

Embedded Systems 15. REVIEW: Aperiodic scheduling. C i J i 0 a i s i f i d i Embedded Systems 15-1 - REVIEW: Aperiodic scheduling C i J i 0 a i s i f i d i Given: A set of non-periodic tasks {J 1,, J n } with arrival times a i, deadlines d i, computation times C i precedence constraints

More information

Real-time operating systems course. 6 Definitions Non real-time scheduling algorithms Real-time scheduling algorithm

Real-time operating systems course. 6 Definitions Non real-time scheduling algorithms Real-time scheduling algorithm Real-time operating systems course 6 Definitions Non real-time scheduling algorithms Real-time scheduling algorithm Definitions Scheduling Scheduling is the activity of selecting which process/thread should

More information

UNIVERSITY OF TRENTO SCUOLA SUPERIORE SANT ANNA

UNIVERSITY OF TRENTO SCUOLA SUPERIORE SANT ANNA UNIVERSITY OF TRENTO Department of Information Engineering and Computer Science SCUOLA SUPERIORE SANT ANNA Institute of Communication, Information and Perception Technologies Joint Double Degree course

More information

EDF Feasibility and Hardware Accelerators

EDF Feasibility and Hardware Accelerators EDF Feasibility and Hardware Accelerators Andrew Morton University of Waterloo, Waterloo, Canada, arrmorton@uwaterloo.ca Wayne M. Loucks University of Waterloo, Waterloo, Canada, wmloucks@pads.uwaterloo.ca

More information

A Theory of Rate-Based Execution. A Theory of Rate-Based Execution

A Theory of Rate-Based Execution. A Theory of Rate-Based Execution Kevin Jeffay Department of Computer Science University of North Carolina at Chapel Hill jeffay@cs cs.unc.edu Steve Goddard Computer Science & Engineering University of Nebraska Ð Lincoln goddard@cse cse.unl.edu

More information

Embedded Systems 14. Overview of embedded systems design

Embedded Systems 14. Overview of embedded systems design Embedded Systems 14-1 - Overview of embedded systems design - 2-1 Point of departure: Scheduling general IT systems In general IT systems, not much is known about the computational processes a priori The

More information

Optimal Utilization Bounds for the Fixed-priority Scheduling of Periodic Task Systems on Identical Multiprocessors. Sanjoy K.

Optimal Utilization Bounds for the Fixed-priority Scheduling of Periodic Task Systems on Identical Multiprocessors. Sanjoy K. Optimal Utilization Bounds for the Fixed-priority Scheduling of Periodic Task Systems on Identical Multiprocessors Sanjoy K. Baruah Abstract In fixed-priority scheduling the priority of a job, once assigned,

More information

RUN-TIME EFFICIENT FEASIBILITY ANALYSIS OF UNI-PROCESSOR SYSTEMS WITH STATIC PRIORITIES

RUN-TIME EFFICIENT FEASIBILITY ANALYSIS OF UNI-PROCESSOR SYSTEMS WITH STATIC PRIORITIES RUN-TIME EFFICIENT FEASIBILITY ANALYSIS OF UNI-PROCESSOR SYSTEMS WITH STATIC PRIORITIES Department for Embedded Systems/Real-Time Systems, University of Ulm {name.surname}@informatik.uni-ulm.de Abstract:

More information

EDF Scheduling. Giuseppe Lipari CRIStAL - Université de Lille 1. October 4, 2015

EDF Scheduling. Giuseppe Lipari  CRIStAL - Université de Lille 1. October 4, 2015 EDF Scheduling Giuseppe Lipari http://www.lifl.fr/~lipari CRIStAL - Université de Lille 1 October 4, 2015 G. Lipari (CRIStAL) Earliest Deadline Scheduling October 4, 2015 1 / 61 Earliest Deadline First

More information

Multiprocessor Scheduling II: Global Scheduling. LS 12, TU Dortmund

Multiprocessor Scheduling II: Global Scheduling. LS 12, TU Dortmund Multiprocessor Scheduling II: Global Scheduling Prof. Dr. Jian-Jia Chen LS 12, TU Dortmund 28, June, 2016 Prof. Dr. Jian-Jia Chen (LS 12, TU Dortmund) 1 / 42 Global Scheduling We will only focus on identical

More information

Lecture 6. Real-Time Systems. Dynamic Priority Scheduling

Lecture 6. Real-Time Systems. Dynamic Priority Scheduling Real-Time Systems Lecture 6 Dynamic Priority Scheduling Online scheduling with dynamic priorities: Earliest Deadline First scheduling CPU utilization bound Optimality and comparison with RM: Schedulability

More information

Paper Presentation. Amo Guangmo Tong. University of Taxes at Dallas February 11, 2014

Paper Presentation. Amo Guangmo Tong. University of Taxes at Dallas February 11, 2014 Paper Presentation Amo Guangmo Tong University of Taxes at Dallas gxt140030@utdallas.edu February 11, 2014 Amo Guangmo Tong (UTD) February 11, 2014 1 / 26 Overview 1 Techniques for Multiprocessor Global

More information

Schedulability analysis of global Deadline-Monotonic scheduling

Schedulability analysis of global Deadline-Monotonic scheduling Schedulability analysis of global Deadline-Monotonic scheduling Sanjoy Baruah Abstract The multiprocessor Deadline-Monotonic (DM) scheduling of sporadic task systems is studied. A new sufficient schedulability

More information

CycleTandem: Energy-Saving Scheduling for Real-Time Systems with Hardware Accelerators

CycleTandem: Energy-Saving Scheduling for Real-Time Systems with Hardware Accelerators CycleTandem: Energy-Saving Scheduling for Real-Time Systems with Hardware Accelerators Sandeep D souza and Ragunathan (Raj) Rajkumar Carnegie Mellon University High (Energy) Cost of Accelerators Modern-day

More information

Scheduling Lecture 1: Scheduling on One Machine

Scheduling Lecture 1: Scheduling on One Machine Scheduling Lecture 1: Scheduling on One Machine Loris Marchal October 16, 2012 1 Generalities 1.1 Definition of scheduling allocation of limited resources to activities over time activities: tasks in computer

More information

Real-Time Systems. Lecture #14. Risat Pathan. Department of Computer Science and Engineering Chalmers University of Technology

Real-Time Systems. Lecture #14. Risat Pathan. Department of Computer Science and Engineering Chalmers University of Technology Real-Time Systems Lecture #14 Risat Pathan Department of Computer Science and Engineering Chalmers University of Technology Real-Time Systems Specification Implementation Multiprocessor scheduling -- Partitioned

More information

Multi-Core Fixed-Priority Scheduling of Real-Time Tasks with Statistical Deadline Guarantee

Multi-Core Fixed-Priority Scheduling of Real-Time Tasks with Statistical Deadline Guarantee Multi-Core Fixed-Priority Scheduling of Real-Time Tasks with Statistical Deadline Guarantee Tianyi Wang 1, Linwei Niu 2, Shaolei Ren 1, and Gang Quan 1 1 Department of Electrical&Computer Engineering,

More information

EECS 571 Principles of Real-Time Embedded Systems. Lecture Note #7: More on Uniprocessor Scheduling

EECS 571 Principles of Real-Time Embedded Systems. Lecture Note #7: More on Uniprocessor Scheduling EECS 571 Principles of Real-Time Embedded Systems Lecture Note #7: More on Uniprocessor Scheduling Kang G. Shin EECS Department University of Michigan Precedence and Exclusion Constraints Thus far, we

More information

Multiprocessor Real-Time Scheduling Considering Concurrency and Urgency

Multiprocessor Real-Time Scheduling Considering Concurrency and Urgency Multiprocessor Real-Time Scheduling Considering Concurrency Urgency Jinkyu Lee, Arvind Easwaran, Insik Shin Insup Lee Dept. of Computer Science, KAIST, South Korea IPP-HURRAY! Research Group, Polytechnic

More information

Real-time Scheduling of Periodic Tasks (1) Advanced Operating Systems Lecture 2

Real-time Scheduling of Periodic Tasks (1) Advanced Operating Systems Lecture 2 Real-time Scheduling of Periodic Tasks (1) Advanced Operating Systems Lecture 2 Lecture Outline Scheduling periodic tasks The rate monotonic algorithm Definition Non-optimality Time-demand analysis...!2

More information

Networked Embedded Systems WS 2016/17

Networked Embedded Systems WS 2016/17 Networked Embedded Systems WS 2016/17 Lecture 2: Real-time Scheduling Marco Zimmerling Goal of Today s Lecture Introduction to scheduling of compute tasks on a single processor Tasks need to finish before

More information

Cyclic Schedules: General Structure. Frame Size Constraints

Cyclic Schedules: General Structure. Frame Size Constraints CPSC-663: Real-ime Systems Cyclic Schedules: General Structure Scheduling decision is made periodically: Frame Scheduling decision is made periodically: choose which job to execute perorm monitoring and

More information

Supplement of Improvement of Real-Time Multi-Core Schedulability with Forced Non- Preemption

Supplement of Improvement of Real-Time Multi-Core Schedulability with Forced Non- Preemption 12 Supplement of Improvement of Real-Time Multi-Core Schedulability with Forced Non- Preemption Jinkyu Lee, Department of Computer Science and Engineering, Sungkyunkwan University, South Korea. Kang G.

More information

Real-Time Systems. Event-Driven Scheduling

Real-Time Systems. Event-Driven Scheduling Real-Time Systems Event-Driven Scheduling Marcus Völp, Hermann Härtig WS 2013/14 Outline mostly following Jane Liu, Real-Time Systems Principles Scheduling EDF and LST as dynamic scheduling methods Fixed

More information

CSCE 313 Introduction to Computer Systems. Instructor: Dezhen Song

CSCE 313 Introduction to Computer Systems. Instructor: Dezhen Song CSCE 313 Introduction to Computer Systems Instructor: Dezhen Song Schedulers in the OS CPU Scheduling Structure of a CPU Scheduler Scheduling = Selection + Dispatching Criteria for scheduling Scheduling

More information

Real-time Systems: Scheduling Periodic Tasks

Real-time Systems: Scheduling Periodic Tasks Real-time Systems: Scheduling Periodic Tasks Advanced Operating Systems Lecture 15 This work is licensed under the Creative Commons Attribution-NoDerivatives 4.0 International License. To view a copy of

More information

arxiv: v1 [cs.os] 25 May 2011

arxiv: v1 [cs.os] 25 May 2011 Scheduling of Hard Real-Time Multi-Thread Periodic Tasks arxiv:1105.5080v1 [cs.os] 25 May 2011 Irina Lupu Joël Goossens PARTS Research Center Université libre de Bruxelles (U.L.B.) CP 212, 50 av. F.D.

More information

arxiv: v1 [cs.os] 21 May 2008

arxiv: v1 [cs.os] 21 May 2008 Integrating job parallelism in real-time scheduling theory Sébastien Collette Liliana Cucu Joël Goossens arxiv:0805.3237v1 [cs.os] 21 May 2008 Abstract We investigate the global scheduling of sporadic,

More information

Multiprocessor EDF and Deadline Monotonic Schedulability Analysis

Multiprocessor EDF and Deadline Monotonic Schedulability Analysis Multiprocessor EDF and Deadline Monotonic Schedulability Analysis Ted Baker Department of Computer Science Florida State University Tallahassee, FL 32306-4530 http://www.cs.fsu.edu/ baker Overview 1. question

More information

Scheduling. Uwe R. Zimmer & Alistair Rendell The Australian National University

Scheduling. Uwe R. Zimmer & Alistair Rendell The Australian National University 6 Scheduling Uwe R. Zimmer & Alistair Rendell The Australian National University References for this chapter [Bacon98] J. Bacon Concurrent Systems 1998 (2nd Edition) Addison Wesley Longman Ltd, ISBN 0-201-17767-6

More information

Scheduling Algorithms for Multiprogramming in a Hard Realtime Environment

Scheduling Algorithms for Multiprogramming in a Hard Realtime Environment Scheduling Algorithms for Multiprogramming in a Hard Realtime Environment C. Liu and J. Layland Journal of the ACM, 20(1):46--61, January 1973. 2 Contents 1. Introduction and Background 2. The Environment

More information

Design of Real-Time Software

Design of Real-Time Software Design of Real-Time Software Reference model Reinder J. Bril Technische Universiteit Eindhoven Department of Mathematics and Computer Science System Architecture and Networking Group P.O. Box 513, 5600

More information

Task Models and Scheduling

Task Models and Scheduling Task Models and Scheduling Jan Reineke Saarland University June 27 th, 2013 With thanks to Jian-Jia Chen at KIT! Jan Reineke Task Models and Scheduling June 27 th, 2013 1 / 36 Task Models and Scheduling

More information

3. Scheduling issues. Common approaches 3. Common approaches 1. Preemption vs. non preemption. Common approaches 2. Further definitions

3. Scheduling issues. Common approaches 3. Common approaches 1. Preemption vs. non preemption. Common approaches 2. Further definitions Common approaches 3 3. Scheduling issues Priority-driven (event-driven) scheduling This class of algorithms is greedy They never leave available processing resources unutilized An available resource may

More information

Real-time scheduling of sporadic task systems when the number of distinct task types is small

Real-time scheduling of sporadic task systems when the number of distinct task types is small Real-time scheduling of sporadic task systems when the number of distinct task types is small Sanjoy Baruah Nathan Fisher Abstract In some real-time application systems, there are only a few distinct kinds

More information

Embedded Systems Design: Optimization Challenges. Paul Pop Embedded Systems Lab (ESLAB) Linköping University, Sweden

Embedded Systems Design: Optimization Challenges. Paul Pop Embedded Systems Lab (ESLAB) Linköping University, Sweden of /4 4 Embedded Systems Design: Optimization Challenges Paul Pop Embedded Systems Lab (ESLAB) Linköping University, Sweden Outline! Embedded systems " Example area: automotive electronics " Embedded systems

More information

Probabilistic Real Time Guarantees: There is life beyond the i.i.d. assumption

Probabilistic Real Time Guarantees: There is life beyond the i.i.d. assumption Probabilistic Real Time Guarantees: There is life beyond the i.i.d. assumption Bernardo Villalba Frías, Luigi Palopoli, Luca Abeni, Daniele Fontanelli University of Trento Trento, Italy {br.villalbafrias,

More information

A Framework for Automated Competitive Analysis of On-line Scheduling of Firm-Deadline Tasks

A Framework for Automated Competitive Analysis of On-line Scheduling of Firm-Deadline Tasks A Framework for Automated Competitive Analysis of On-line Scheduling of Firm-Deadline Tasks Krishnendu Chatterjee 1, Andreas Pavlogiannis 1, Alexander Kößler 2, Ulrich Schmid 2 1 IST Austria, 2 TU Wien

More information

Static priority scheduling

Static priority scheduling Static priority scheduling Michal Sojka Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Control Engineering November 8, 2017 Some slides are derived from lectures

More information

Real-Time Scheduling and Resource Management

Real-Time Scheduling and Resource Management ARTIST2 Summer School 2008 in Europe Autrans (near Grenoble), France September 8-12, 2008 Real-Time Scheduling and Resource Management Lecturer: Giorgio Buttazzo Full Professor Scuola Superiore Sant Anna

More information

Failure Tolerance of Multicore Real-Time Systems scheduled by a Pfair Algorithm

Failure Tolerance of Multicore Real-Time Systems scheduled by a Pfair Algorithm Failure Tolerance of Multicore Real-Time Systems scheduled by a Pfair Algorithm Yves MOUAFO Supervisors A. CHOQUET-GENIET, G. LARGETEAU-SKAPIN OUTLINES 2 1. Context and Problematic 2. State of the art

More information

Slack-Time Computation for Temporal Robustness in Embedded Systems

Slack-Time Computation for Temporal Robustness in Embedded Systems Slack-Time Computation for Temporal Robustness in Embedded Systems Serge Midonnet, Damien Masson, Rémi Lassalle To cite this version: Serge Midonnet, Damien Masson, Rémi Lassalle. Slack-Time Computation

More information

Real-Time and Embedded Systems (M) Lecture 5

Real-Time and Embedded Systems (M) Lecture 5 Priority-driven Scheduling of Periodic Tasks (1) Real-Time and Embedded Systems (M) Lecture 5 Lecture Outline Assumptions Fixed-priority algorithms Rate monotonic Deadline monotonic Dynamic-priority algorithms

More information

Real-Time Systems. Event-Driven Scheduling

Real-Time Systems. Event-Driven Scheduling Real-Time Systems Event-Driven Scheduling Hermann Härtig WS 2018/19 Outline mostly following Jane Liu, Real-Time Systems Principles Scheduling EDF and LST as dynamic scheduling methods Fixed Priority schedulers

More information

CEC 450 Real-Time Systems

CEC 450 Real-Time Systems CEC 450 Real-Time Systems Lecture 3 Real-Time Services Part 2 (Rate Monotonic Theory - Policy and Feasibility for RT Services) September 7, 2018 Sam Siewert Quick Review Service Utility RM Policy, Feasibility,

More information

Real-Time Scheduling. Real Time Operating Systems and Middleware. Luca Abeni

Real-Time Scheduling. Real Time Operating Systems and Middleware. Luca Abeni Real Time Operating Systems and Middleware Luca Abeni luca.abeni@unitn.it Definitions Algorithm logical procedure used to solve a problem Program formal description of an algorithm, using a programming

More information

Scheduling Stochastically-Executing Soft Real-Time Tasks: A Multiprocessor Approach Without Worst-Case Execution Times

Scheduling Stochastically-Executing Soft Real-Time Tasks: A Multiprocessor Approach Without Worst-Case Execution Times Scheduling Stochastically-Executing Soft Real-Time Tasks: A Multiprocessor Approach Without Worst-Case Execution Times Alex F. Mills Department of Statistics and Operations Research University of North

More information

Fine Grain Quality Management

Fine Grain Quality Management Fine Grain Quality Management Jacques Combaz Jean-Claude Fernandez Mohamad Jaber Joseph Sifakis Loïc Strus Verimag Lab. Université Joseph Fourier Grenoble, France DCS seminar, 10 June 2008, Col de Porte

More information

Improved Priority Assignment for the Abort-and-Restart (AR) Model

Improved Priority Assignment for the Abort-and-Restart (AR) Model Improved Priority Assignment for the Abort-and-Restart (AR) Model H.C. Wong and A. Burns Department of Computer Science, University of York, UK. February 1, 2013 Abstract This paper addresses the scheduling

More information

Bringing Probabilistic Real Time Guarantees to the Real World

Bringing Probabilistic Real Time Guarantees to the Real World DEPARTMENT OF INFORMATION ENGINEERING AND COMPUTER SCIENCE ICT International Doctoral School Bringing Probabilistic Real Time Guarantees to the Real World Bernardo Rabindranath Villalba Frías Advisor Luigi

More information

Bounding the End-to-End Response Times of Tasks in a Distributed. Real-Time System Using the Direct Synchronization Protocol.

Bounding the End-to-End Response Times of Tasks in a Distributed. Real-Time System Using the Direct Synchronization Protocol. Bounding the End-to-End Response imes of asks in a Distributed Real-ime System Using the Direct Synchronization Protocol Jun Sun Jane Liu Abstract In a distributed real-time system, a task may consist

More information

CPU SCHEDULING RONG ZHENG

CPU SCHEDULING RONG ZHENG CPU SCHEDULING RONG ZHENG OVERVIEW Why scheduling? Non-preemptive vs Preemptive policies FCFS, SJF, Round robin, multilevel queues with feedback, guaranteed scheduling 2 SHORT-TERM, MID-TERM, LONG- TERM

More information

Schedulability Analysis for the Abort-and-Restart (AR) Model

Schedulability Analysis for the Abort-and-Restart (AR) Model Schedulability Analysis for the Abort-and-Restart (AR) Model ABSTRACT H.C. Wong Real-Time Systems Research Group, Department of Computer Science, University of York, UK. hw638@york.ac.uk This paper addresses

More information

Schedulability Analysis of the Linux Push and Pull Scheduler with Arbitrary Processor Affinities

Schedulability Analysis of the Linux Push and Pull Scheduler with Arbitrary Processor Affinities Revision 1 July 23, 215 Schedulability Analysis of the Linux Push and Pull Scheduler with Arbitrary Processor Affinities Arpan Gujarati Felipe Cerqueira Björn B. Brandenburg Max Planck Institute for Software

More information

Multiprocessor Scheduling I: Partitioned Scheduling. LS 12, TU Dortmund

Multiprocessor Scheduling I: Partitioned Scheduling. LS 12, TU Dortmund Multiprocessor Scheduling I: Partitioned Scheduling Prof. Dr. Jian-Jia Chen LS 12, TU Dortmund 22/23, June, 2015 Prof. Dr. Jian-Jia Chen (LS 12, TU Dortmund) 1 / 47 Outline Introduction to Multiprocessor

More information

Clock-driven scheduling

Clock-driven scheduling Clock-driven scheduling Also known as static or off-line scheduling Michal Sojka Czech Technical University in Prague, Faculty of Electrical Engineering, Department of Control Engineering November 8, 2017

More information

A Note on Modeling Self-Suspending Time as Blocking Time in Real-Time Systems

A Note on Modeling Self-Suspending Time as Blocking Time in Real-Time Systems A Note on Modeling Self-Suspending Time as Blocking Time in Real-Time Systems Jian-Jia Chen 1, Wen-Hung Huang 1, and Geoffrey Nelissen 2 1 TU Dortmund University, Germany Email: jian-jia.chen@tu-dortmund.de,

More information

2.1 Task and Scheduling Model. 2.2 Definitions and Schedulability Guarantees

2.1 Task and Scheduling Model. 2.2 Definitions and Schedulability Guarantees Fixed-Priority Scheduling of Mixed Soft and Hard Real-Time Tasks on Multiprocessors Jian-Jia Chen, Wen-Hung Huang Zheng Dong, Cong Liu TU Dortmund University, Germany The University of Texas at Dallas,

More information

Schedulability of Periodic and Sporadic Task Sets on Uniprocessor Systems

Schedulability of Periodic and Sporadic Task Sets on Uniprocessor Systems Schedulability of Periodic and Sporadic Task Sets on Uniprocessor Systems Jan Reineke Saarland University July 4, 2013 With thanks to Jian-Jia Chen! Jan Reineke July 4, 2013 1 / 58 Task Models and Scheduling

More information

Multiprocessor Scheduling of Age Constraint Processes

Multiprocessor Scheduling of Age Constraint Processes Multiprocessor Scheduling of Age Constraint Processes Lars Lundberg Department of Computer Science, University of Karlskrona/Ronneby, Soft Center, S-372 25 Ronneby, Sweden, email: Lars.Lundberg@ide.hk-r.se

More information

On the Design and Application of Thermal Isolation Servers

On the Design and Application of Thermal Isolation Servers On the Design and Application of Thermal Isolation Servers Rehan Ahmed, Pengcheng Huang, Max Millen, Lothar Thiele EMSOFT 2017 October 16, 2017 1/25 2/25 The Temperature Problem 1 1 Extremetech: https://tinyurl.com/y8gmopks

More information

Controlling Preemption for Better Schedulability in Multi-Core Systems

Controlling Preemption for Better Schedulability in Multi-Core Systems 2012 IEEE 33rd Real-Time Systems Symposium Controlling Preemption for Better Schedulability in Multi-Core Systems Jinkyu Lee and Kang G. Shin Dept. of Electrical Engineering and Computer Science, The University

More information

CIS 4930/6930: Principles of Cyber-Physical Systems

CIS 4930/6930: Principles of Cyber-Physical Systems CIS 4930/6930: Principles of Cyber-Physical Systems Chapter 11 Scheduling Hao Zheng Department of Computer Science and Engineering University of South Florida H. Zheng (CSE USF) CIS 4930/6930: Principles

More information

arxiv: v1 [cs.os] 6 Jun 2013

arxiv: v1 [cs.os] 6 Jun 2013 Partitioned scheduling of multimode multiprocessor real-time systems with temporal isolation Joël Goossens Pascal Richard arxiv:1306.1316v1 [cs.os] 6 Jun 2013 Abstract We consider the partitioned scheduling

More information

Contention-Free Executions for Real-Time Multiprocessor Scheduling

Contention-Free Executions for Real-Time Multiprocessor Scheduling Contention-Free Executions for Real-Time Multiprocessor Scheduling JINKYU LEE, University of Michigan ARVIND EASWARAN, Nanyang Technological University INSIK SHIN, KAIST A time slot is defined as contention-free

More information

On the analysis of random replacement caches using static probabilistic timing methods for multi-path programs

On the analysis of random replacement caches using static probabilistic timing methods for multi-path programs Real-Time Syst (208) 54:307 388 https://doi.org/0.007/s24-07-9295-2 On the analysis of random replacement caches using static probabilistic timing methods for multi-path programs Benjamin Lesage David

More information

Priority-driven Scheduling of Periodic Tasks (1) Advanced Operating Systems (M) Lecture 4

Priority-driven Scheduling of Periodic Tasks (1) Advanced Operating Systems (M) Lecture 4 Priority-driven Scheduling of Periodic Tasks (1) Advanced Operating Systems (M) Lecture 4 Priority-driven Scheduling Assign priorities to jobs, based on their deadline or other timing constraint Make scheduling

More information

Modeling Fixed Priority Non-Preemptive Scheduling with Real-Time Calculus

Modeling Fixed Priority Non-Preemptive Scheduling with Real-Time Calculus Modeling Fixed Priority Non-Preemptive Scheduling with Real-Time Calculus Devesh B. Chokshi and Purandar Bhaduri Department of Computer Science and Engineering Indian Institute of Technology Guwahati,

More information

Aperiodic Task Scheduling

Aperiodic Task Scheduling Aperiodic Task Scheduling Jian-Jia Chen (slides are based on Peter Marwedel) TU Dortmund, Informatik 12 Germany Springer, 2010 2017 年 11 月 29 日 These slides use Microsoft clip arts. Microsoft copyright

More information

Non-Work-Conserving Non-Preemptive Scheduling: Motivations, Challenges, and Potential Solutions

Non-Work-Conserving Non-Preemptive Scheduling: Motivations, Challenges, and Potential Solutions Non-Work-Conserving Non-Preemptive Scheduling: Motivations, Challenges, and Potential Solutions Mitra Nasri Chair of Real-time Systems, Technische Universität Kaiserslautern, Germany nasri@eit.uni-kl.de

More information

The Concurrent Consideration of Uncertainty in WCETs and Processor Speeds in Mixed Criticality Systems

The Concurrent Consideration of Uncertainty in WCETs and Processor Speeds in Mixed Criticality Systems The Concurrent Consideration of Uncertainty in WCETs and Processor Speeds in Mixed Criticality Systems Zhishan Guo and Sanjoy Baruah Department of Computer Science University of North Carolina at Chapel

More information

Design and Analysis of Time-Critical Systems Response-time Analysis with a Focus on Shared Resources

Design and Analysis of Time-Critical Systems Response-time Analysis with a Focus on Shared Resources Design and Analysis of Time-Critical Systems Response-time Analysis with a Focus on Shared Resources Jan Reineke @ saarland university ACACES Summer School 2017 Fiuggi, Italy computer science Fixed-Priority

More information

Schedulability Analysis for the Abort-and-Restart Model

Schedulability Analysis for the Abort-and-Restart Model Schedulability Analysis for the Abort-and-Restart Model Hing Choi Wong Doctor of Philosophy University of York Computer Science December 2014 Abstract In real-time systems, a schedulable task-set guarantees

More information

On the Reliability of the Probabilistic Worst-Case Execution Time Estimates

On the Reliability of the Probabilistic Worst-Case Execution Time Estimates On the Reliability of the Probabilistic Worst-Case Execution Time Estimates Fabrice Guet, Luca Santinelli, Jérôme Morio To cite this version: Fabrice Guet, Luca Santinelli, Jérôme Morio. On the Reliability

More information

System Model. Real-Time systems. Giuseppe Lipari. Scuola Superiore Sant Anna Pisa -Italy

System Model. Real-Time systems. Giuseppe Lipari. Scuola Superiore Sant Anna Pisa -Italy Real-Time systems System Model Giuseppe Lipari Scuola Superiore Sant Anna Pisa -Italy Corso di Sistemi in tempo reale Laurea Specialistica in Ingegneria dell Informazione Università di Pisa p. 1/?? Task

More information

A New Task Model and Utilization Bound for Uniform Multiprocessors

A New Task Model and Utilization Bound for Uniform Multiprocessors A New Task Model and Utilization Bound for Uniform Multiprocessors Shelby Funk Department of Computer Science, The University of Georgia Email: shelby@cs.uga.edu Abstract This paper introduces a new model

More information

Probabilistic Preemption Control using Frequency Scaling for Sporadic Real-time Tasks

Probabilistic Preemption Control using Frequency Scaling for Sporadic Real-time Tasks Probabilistic Preemption Control using Frequency Scaling for Sporadic Real-time Tasks Abhilash Thekkilakattil, Radu Dobrin and Sasikumar Punnekkat Mälardalen Real-Time Research Center, Mälardalen University,

More information

Proportional Share Resource Allocation Outline. Proportional Share Resource Allocation Concept

Proportional Share Resource Allocation Outline. Proportional Share Resource Allocation Concept Proportional Share Resource Allocation Outline Fluid-flow resource allocation models» Packet scheduling in a network Proportional share resource allocation models» CPU scheduling in an operating system

More information

CEC 450 Real-Time Systems

CEC 450 Real-Time Systems E 450 Real-ime Systems Lecture 4 Rate Monotonic heory Part September 7, 08 Sam Siewert Quiz Results 93% Average, 75 low, 00 high Goal is to learn what you re not learning yet Motivation to keep up with

More information

Stochastic Optimization for Undergraduate Computer Science Students

Stochastic Optimization for Undergraduate Computer Science Students Stochastic Optimization for Undergraduate Computer Science Students Professor Joongheon Kim School of Computer Science and Engineering, Chung-Ang University, Seoul, Republic of Korea 1 Reference 2 Outline

More information