Priority Inversion Use Case Example
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Last Time Today Response Time Vs. RM Computing Response Time More Second-Priority Task I Response Time
Last Time Today Priority-based scheduling Response time analysis Static priorities Blocking terms Dynamic priorities Priority inversion Schedulable utilization And solutions Rate monotonic rule: Keep utilization below 69% Release jitter Other extensions Response Time vs. RM Computing Response Time Rate monotonic result WC response time of highest priority task R Tells us that a broad class of embedded systems meet their 1 time constraints: R1 = C 1 • Scheduled using fixed priorities with RM or DM priority Hopefully obvious assignment • Total utilization not above 69% WC response time of second-priority task R 2 However, doesn’t give very good feedback about what is Case 1: R 2 ≤ T1 going on with a specific system • R2 = C 2 + C 1 Response time analysis R T T Tells us for each task, what is the longest time between R1 2 1 2 when it is released and when it finishes Then these can be compared with deadlines 1 1 Gives insight into how close the system is to meeting / not 2 meeting its deadline Is more precise (rejects fewer systems) More Second-Priority Task i Response Time Case 2: T 1 < R 2 ≤ 2T 1 General case: R = C + 2C Ri 2 2 1 Ri = Ci + ∑ Cj j ∀j∈hp (i) T R1 T1 R2 2T 1 T2 1 1 1 hp(i) is the set of tasks with priority higher than I 2 2 Only higher-priority tasks can delay a task Case 3: 2T 1 < R 2 ≤ 3T 1 Problem with using this equation in practice? R2 = C 2 + 3C 1 General case of the second-priority task: R2 = C 2 + ceiling ( R 2 / T 1 ) C 1 1 Computing Response Times Response Time Example Rewrite -
Preemption-Based Avoidance of Priority Inversion for Java
Preemption-Based Avoidance of Priority Inversion for Java Adam Welc Antony L. Hosking Suresh Jagannathan [email protected] [email protected] [email protected] Department of Computer Sciences Purdue University West Lafayette, IN 47906 Abstract their actions via mutual exclusion locks. The resulting programming model is reasonably simple, Priority inversion occurs in concurrent programs when but unfortunately unwieldy for large-scale applications. A low-priority threads hold shared resources needed by some significant problem with using low-level, lock-based syn- high-priority thread, causing them to block indefinitely. chronization primitives is priority inversion. We propose a Shared resources are usually guarded by low-level syn- new solution for priority inversion that exploits close coop- chronization primitives such as mutual-exclusion locks, eration between the compiler and the run-time system. Our semaphores, or monitors. There are two existing solu- approach is applicable to any language that offers the fol- tions to priority inversion. The first, establishing high- lowing mechanisms: level scheduling invariants over synchronization primitives to eliminate priority inversion a priori, is difficult in practice • Multithreading: concurrent threads of control execut- and undecidable in general. Alternatively, run-time avoid- ing over objects in a shared address space. ance mechanisms such as priority inheritance still force • Synchronized sections: lexically-delimited blocks high-priority threads to wait until desired resources are re- of code, guarded by dynamically-scoped monitors. leased. Threads synchronize on a given monitor, acquiring it We describe a novel compiler and run-time solution to on entry to the block and releasing it on exit. -
Stclang: State Thread Composition As a Foundation for Monadic Dataflow Parallelism Sebastian Ertel∗ Justus Adam Norman A
STCLang: State Thread Composition as a Foundation for Monadic Dataflow Parallelism Sebastian Ertel∗ Justus Adam Norman A. Rink Dresden Research Lab Chair for Compiler Construction Chair for Compiler Construction Huawei Technologies Technische Universität Dresden Technische Universität Dresden Dresden, Germany Dresden, Germany Dresden, Germany [email protected] [email protected] [email protected] Andrés Goens Jeronimo Castrillon Chair for Compiler Construction Chair for Compiler Construction Technische Universität Dresden Technische Universität Dresden Dresden, Germany Dresden, Germany [email protected] [email protected] Abstract using monad-par and LVars to expose parallelism explicitly Dataflow execution models are used to build highly scalable and reach the same level of performance, showing that our parallel systems. A programming model that targets parallel programming model successfully extracts parallelism that dataflow execution must answer the following question: How is present in an algorithm. Further evaluation shows that can parallelism between two dependent nodes in a dataflow smap is expressive enough to implement parallel reductions graph be exploited? This is difficult when the dataflow lan- and our programming model resolves short-comings of the guage or programming model is implemented by a monad, stream-based programming model for current state-of-the- as is common in the functional community, since express- art big data processing systems. ing dependence between nodes by a monadic bind suggests CCS Concepts • Software and its engineering → Func- sequential execution. Even in monadic constructs that explic- tional languages. itly separate state from computation, problems arise due to the need to reason about opaquely defined state. -
Real-Time Operating Systems (RTOS)
Real-Time Operating Systems (RTOS) 101 Real-Time System Characteristics RTOS Architecture Rate Monotonic • A real-time system is a computer system which is required by its specification to adhere to: Scheduling (RMS) – functional requirements (behavior) • A priority is assigned based on the inverse of its pe- – temporal requirements (timing constraints, deadlines) riod • Specific deterministic timing (temporal ) requirements – Shorter execution periods = higher priority – “Deterministic" timing means that RTOS services consume only – Longer execution periods = lower priority known and expected amounts of time. • Common way to assign fixed priorities • Small size (footprint) – If there is a fixed-priority schedule that meets all dead- lines, then RMS will produce a feasible schedule Types of Real-Time Systems • Simple to understand and implement • A generic real-time system requires that results be produced RTOS Task Services • P1 is assigned a higher priority than P2. within a specified deadline period. • An embedded system is a computing device that is part of a • Scheduling and Dispatching larger system. • Inter-task Communication • A safety-critical system is a real-time system with catastro- phic results in case of failure. • Memory System Management • A hard real-time system guarantees that real-time tasks be Earliest Deadline First (EDF) • Input / Output System Management completed within their required deadlines. Failure to meet a single deadline may lead to a critical catastrophic system • Scheduling Time Management & Timers failure such as physical damage or loss of life. • Priorities are assigned according to deadlines: • Error Management • A firm real-time system tolerates a low occurrence of missing – the earlier the deadline, the higher the priority a deadline. -
APPLYING MODEL-VIEW-CONTROLLER (MVC) in DESIGN and DEVELOPMENT of INFORMATION SYSTEMS an Example of Smart Assistive Script Breakdown in an E-Business Application
APPLYING MODEL-VIEW-CONTROLLER (MVC) IN DESIGN AND DEVELOPMENT OF INFORMATION SYSTEMS An Example of Smart Assistive Script Breakdown in an e-Business Application Andreas Holzinger, Karl Heinz Struggl Institute of Information Systems and Computer Media (IICM), TU Graz, Graz, Austria Matjaž Debevc Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia Keywords: Information Systems, Software Design Patterns, Model-view-controller (MVC), Script Breakdown, Film Production. Abstract: Information systems are supporting professionals in all areas of e-Business. In this paper we concentrate on our experiences in the design and development of information systems for the use in film production processes. Professionals working in this area are neither computer experts, nor interested in spending much time for information systems. Consequently, to provide a useful, useable and enjoyable application the system must be extremely suited to the requirements and demands of those professionals. One of the most important tasks at the beginning of a film production is to break down the movie script into its elements and aspects, and create a solid estimate of production costs based on the resulting breakdown data. Several film production software applications provide interfaces to support this task. However, most attempts suffer from numerous usability deficiencies. As a result, many film producers still use script printouts and textmarkers to highlight script elements, and transfer the data manually into their film management software. This paper presents a novel approach for unobtrusive and efficient script breakdown using a new way of breaking down text into its relevant elements. We demonstrate how the implementation of this interface benefits from employing the Model-View-Controller (MVC) as underlying software design paradigm in terms of both software development confidence and user satisfaction. -
Real-Time Operating System (RTOS)
Real-Time Operating System ELC 4438 – Spring 2016 Liang Dong Baylor University RTOS – Basic Kernel Services Task Management • Scheduling is the method by which threads, processes or data flows are given access to system resources (e.g. processor time, communication bandwidth). • The need for a scheduling algorithm arises from the requirement for most modern systems to perform multitasking (executing more than one process at a time) and multiplexing (transmit multiple data streams simultaneously across a single physical channel). Task Management • Polled loops; Synchronized polled loops • Cyclic Executives (round-robin) • State-driven and co-routines • Interrupt-driven systems – Interrupt service routines – Context switching void main(void) { init(); Interrupt-driven while(true); } Systems void int1(void) { save(context); task1(); restore(context); } void int2(void) { save(context); task2(); restore(context); } Task scheduling • Most RTOSs do their scheduling of tasks using a scheme called "priority-based preemptive scheduling." • Each task in a software application must be assigned a priority, with higher priority values representing the need for quicker responsiveness. • Very quick responsiveness is made possible by the "preemptive" nature of the task scheduling. "Preemptive" means that the scheduler is allowed to stop any task at any point in its execution, if it determines that another task needs to run immediately. Hybrid Systems • A hybrid system is a combination of round- robin and preemptive-priority systems. – Tasks of higher priority can preempt those of lower priority. – If two or more tasks of the same priority are ready to run simultaneously, they run in round-robin fashion. Thread Scheduling ThreadPriority.Highest ThreadPriority.AboveNormal A B ThreadPriority.Normal C ThreadPriority.BelowNormal D E F ThreadPriority.Lowest Default priority is Normal. -
Process Scheduling
PROCESS SCHEDULING ANIRUDH JAYAKUMAR LAST TIME • Build a customized Linux Kernel from source • System call implementation • Interrupts and Interrupt Handlers TODAY’S SESSION • Process Management • Process Scheduling PROCESSES • “ a program in execution” • An active program with related resources (instructions and data) • Short lived ( “pwd” executed from terminal) or long-lived (SSH service running as a background process) • A.K.A tasks – the kernel’s point of view • Fundamental abstraction in Unix THREADS • Objects of activity within the process • One or more threads within a process • Asynchronous execution • Each thread includes a unique PC, process stack, and set of processor registers • Kernel schedules individual threads, not processes • tasks are Linux threads (a.k.a kernel threads) TASK REPRESENTATION • The kernel maintains info about each process in a process descriptor, of type task_struct • See include/linux/sched.h • Each task descriptor contains info such as run-state of process, address space, list of open files, process priority etc • The kernel stores the list of processes in a circular doubly linked list called the task list. TASK LIST • struct list_head tasks; • init the "mother of all processes” – statically allocated • extern struct task_struct init_task; • for_each_process() - iterates over the entire task list • next_task() - returns the next task in the list PROCESS STATE • TASK_RUNNING: running or on a run-queue waiting to run • TASK_INTERRUPTIBLE: sleeping, waiting for some event to happen; awakes prematurely if it receives a signal • TASK_UNINTERRUPTIBLE: identical to TASK_INTERRUPTIBLE except it ignores signals • TASK_ZOMBIE: The task has terminated, but its parent has not yet issued a wait4(). The task's process descriptor must remain in case the parent wants to access it. -
Guaranteeing Real-Time Performance Using Rate Monotonic Analysis
Carnegie Mellon University Software Engineering Institute Guaranteeing Real-Time Performance Using Rate Monotonic Analysis Embedded Systems Conference September 20-23, 1994 Presented by Ray Obenza Software Engineering Institute Carnegie Mellon University Pittsburgh PA 15213 Sponsored by the U.S. Department of Defense Carnegie Mellon University Software Engineering Institute Rate Monotonic Analysis Introduction Periodic tasks Extending basic theory Synchronization and priority inversion Aperiodic servers Case study: BSY-1 Trainer 1 Introduction Carnegie Mellon University Software Engineering Institute Purpose of Tutorial Introduce rate monotonic analysis Explain how to perform the analysis Give some examples of usage Convince you it is useful 2 Introduction Carnegie Mellon University Software Engineering Institute Tutorial Format Lecture Group exercises Case study Questions welcome anytime 3 Introduction Carnegie Mellon University Software Engineering Institute RMARTS Project Originally called Real-Time Scheduling in Ada Project (RTSIA). • focused on rate monotonic scheduling theory • recognized strength of theory was in analysis Rate Monotonic Analysis for Real-Time Systems (RMARTS) • focused on analysis supported by (RMS) theory • analysis of designs regardless of language or scheduling approach used Project focused initially on uniprocessor systems. Work continues in distributed processing systems. 4 Introduction Carnegie Mellon University Software Engineering Institute Real-Time Systems Timing requirements • meeting deadlines Periodic -
RTOS Northern Real Time Applications (NRTA)
By N.J. Keeling, Director of Marketing, RTOS Northern Real Time Applications (NRTA). Missed it! - How Priority Inversion messes up real-time performance and how the Priority Ceiling Protocol puts it right. In hard real-time systems it is important that everything runs on-time, every time. To do this efficiently it is necessary to make sure urgent things are done before less urgent things. When code is developed using a real-time operating system (RTOS) that offers pre-emptive scheduling, each task can be allocat- ed a level of priority. The best way to set the priority of each task is according to the urgency of the task: the most urgent task gets the highest priority (this ordering scheme is known as Deadline Monotonic). PRE-EMPTIVE MULTI-TASKING there is a requirement for data to be shared between ulti-tasking through use of an RTOS sched- the various tasks in the application. Clearly this is a typ- uler enables the processor to be shared ical situation: imagine an I/O data stream that is imple- M between a number of tasks in an applica- mented with two tasks. The first (called H) is a high pri- tion. In most priority schemes the scheduler is pre- ority task and drives communications hardware. It emptive: a task of a higher priority will 'break in' on the takes data from a buffer and places it onto a network. execution of lower priority tasks and take over the The task needs to run and finish by a short deadline, processor until it finishes or is pre-empted in its turn by which is why it has a high priority. -
Scheduling: Introduction
7 Scheduling: Introduction By now low-level mechanisms of running processes (e.g., context switch- ing) should be clear; if they are not, go back a chapter or two, and read the description of how that stuff works again. However, we have yet to un- derstand the high-level policies that an OS scheduler employs. We will now do just that, presenting a series of scheduling policies (sometimes called disciplines) that various smart and hard-working people have de- veloped over the years. The origins of scheduling, in fact, predate computer systems; early approaches were taken from the field of operations management and ap- plied to computers. This reality should be no surprise: assembly lines and many other human endeavors also require scheduling, and many of the same concerns exist therein, including a laser-like desire for efficiency. And thus, our problem: THE CRUX: HOW TO DEVELOP SCHEDULING POLICY How should we develop a basic framework for thinking about scheduling policies? What are the key assumptions? What metrics are important? What basic approaches have been used in the earliest of com- puter systems? 7.1 Workload Assumptions Before getting into the range of possible policies, let us first make a number of simplifying assumptions about the processes running in the system, sometimes collectively called the workload. Determining the workload is a critical part of building policies, and the more you know about workload, the more fine-tuned your policy can be. The workload assumptions we make here are mostly unrealistic, but that is alright (for now), because we will relax them as we go, and even- tually develop what we will refer to as .. -
Multitasking and Real-Time Scheduling
Multitasking and Real-time Scheduling EE8205: Embedded Computer Systems http://www.ee.ryerson.ca/~courses/ee8205/ Dr. Gul N. Khan http://www.ee.ryerson.ca/~gnkhan Electrical and Computer Engineering Ryerson University Overview • RTX - Preemptive Scheduling • Real-time Scheduling Techniques . Fixed-Priority and Earliest Deadline First Scheduling • Utilization and Response-time Analysis • Priority Inversion • Sporadic and Aperiodic Process Scheduling Chapter 6 of the Text by Wolf, Chapter 13 of Text by Burns and Wellings and Keil-RTX documents © G. Khan Embedded Computer Systems–EE8205: Real-time Scheduling Page: 1 Priority-driven Scheduling Rules: • each process has a fixed priority (1 lowest); • highest-priority ready process gets CPU; • process continues until done. Processes • P1: priority 3, execution time 10 • P2: priority 2, execution time 30 • P3: priority 1, execution time 20 P3 ready t=18 P2 ready t=0 P1 ready t=15 P2 P1 P2 P3 time 0 10 20 30 40 50 60 © G. Khan Embedded Computer Systems–EE8205: Real-time Scheduling Page: 2 RTX Scheduling Options RTX allows us to build an application with three different kernel- scheduling options: • Pre-Emptive scheduling Each task has a different priority and will run until it is pre- empted or has reached a blocking OS call. • Round-Robin scheduling Each task has the same priority and will run for a fixed period, or time slice, or until has reached a blocking OS call. • Co-operative multi-tasking Each task has the same priority and the Round-Robin is disabled. Each task will run until it reached a blocking OS call or uses the os_tsk_pass() call. -
Scheduling Light-Weight Parallelism in Artcop
Scheduling Light-Weight Parallelism in ArTCoP J. Berthold1,A.AlZain2,andH.-W.Loidl3 1 Fachbereich Mathematik und Informatik Philipps-Universit¨at Marburg, D-35032 Marburg, Germany [email protected] 2 School of Mathematical and Computer Sciences Heriot-Watt University, Edinburgh EH14 4AS, Scotland [email protected] 3 Institut f¨ur Informatik, Ludwig-Maximilians-Universit¨at M¨unchen, Germany [email protected] Abstract. We present the design and prototype implementation of the scheduling component in ArTCoP (architecture transparent control of parallelism), a novel run-time environment (RTE) for parallel execution of high-level languages. A key feature of ArTCoP is its support for deep process and memory hierarchies, shown in the scheduler by supporting light-weight threads. To realise a system with easily exchangeable components, the system defines a micro-kernel, providing basic infrastructure, such as garbage collection. All complex RTE operations, including the handling of parallelism, are implemented at a separate system level. By choosing Concurrent Haskell as high-level system language, we obtain a prototype in the form of an executable specification that is easier to maintain and more flexible than con- ventional RTEs. We demonstrate the flexibility of this approach by presenting implementations of a scheduler for light-weight threads in ArTCoP, based on GHC Version 6.6. Keywords: Parallel computation, functional programming, scheduling. 1 Introduction In trying to exploit the computational power of parallel architectures ranging from multi-core machines to large-scale computational Grids, we are currently developing a new parallel runtime environment, ArTCoP, for executing parallel Haskell code on such complex, hierarchical architectures.