This document contains information about real-time operating systems and scheduling algorithms. It discusses the architecture of real-time systems, including hard and soft real-time systems. It also covers common task categories and why scheduling is needed. The document then summarizes several important scheduling algorithms for real-time systems, including rate monotonic, deadline monotonic, earliest deadline first, least laxity first, and maximum urgency first. It provides examples and explanations of how each algorithm works.
The document discusses real-time systems and real-time scheduling algorithms. It defines real-time systems as systems where the correctness depends on the time at which results are produced. It categorizes real-time tasks and explains the need for scheduling to allocate processor and other resources to tasks. The document then describes several static, dynamic, and hybrid real-time scheduling algorithms like rate monotonic scheduling, deadline monotonic scheduling, earliest deadline first, least laxity first, and maximum urgency first.
Survey of Real Time Scheduling AlgorithmsIOSR Journals
This document summarizes and reviews real-time scheduling algorithms. It discusses both static and dynamic scheduling algorithms for real-time tasks on uniprocessors and multiprocessors. The document reviews algorithms such as Earliest Deadline First, Least Laxity First, and Modified Instantaneous Utilization Factor Scheduling. It concludes that Modified Instantaneous Utilization Factor Scheduling provides better results than previous algorithms in terms of context switching, response time, and CPU utilization for uniprocessor scheduling.
The ppt contains detail about issues and scheduling technique of real-time systems. It includes scheduling both online and offline for uniprocessor system. The applications of real-time system is also there
Real time Scheduling in Operating System for Msc CSThanveen
This document discusses real-time scheduling and algorithms. It defines real-time systems as systems where correctness depends on both functional and temporal aspects. Key aspects of real-time scheduling include determinism, responsiveness, reliability and meeting deadlines. Common real-time scheduling algorithms discussed include rate monotonic scheduling, earliest deadline first, and dynamic scheduling approaches. The document also covers priority inversion which can occur when higher priority tasks must wait for lower priority tasks in preemptive multitasking systems.
1. Real-time systems are systems where the correctness depends on both the logical result and the time at which the results are produced.
2. Real-time systems have performance deadlines where computations and actions must be completed. Deadlines can be time-driven or event-driven.
3. Real-time systems are classified as hard, firm, or soft depending on how critical meeting deadlines are. They are used in applications like medical equipment, automotive systems, and avionics.
This document discusses real-time systems and operating systems. It defines real-time systems as those that must complete work and deliver services on time. Hard real-time systems have fatal consequences for missed deadlines, while soft real-time systems have degraded performance. Real-time operating systems use scheduling algorithms like priority scheduling to deterministically allocate CPUs and resources. They also address issues like priority inversion and interrupt handling to ensure timing constraints are always met.
The document discusses real-time embedded systems and real-time operating system (RTOS) scheduling. It introduces key concepts like hard and soft real-time systems, embedded systems, and RTOS scheduling techniques including round robin, function pointer based, and priority-based preemptive scheduling. The document also covers rate monotonic scheduling and static priority driven preemptive scheduling assumptions and theorems.
The document discusses real-time embedded systems and real-time operating system (RTOS) scheduling. It introduces key concepts like hard and soft real-time systems, embedded systems, and RTOS scheduling techniques including round robin, function pointer based, and priority-based preemptive scheduling. The document also covers rate monotonic scheduling and static priority driven preemptive scheduling assumptions and theorems.
The document discusses real-time systems and real-time scheduling algorithms. It defines real-time systems as systems where the correctness depends on the time at which results are produced. It categorizes real-time tasks and explains the need for scheduling to allocate processor and other resources to tasks. The document then describes several static, dynamic, and hybrid real-time scheduling algorithms like rate monotonic scheduling, deadline monotonic scheduling, earliest deadline first, least laxity first, and maximum urgency first.
Survey of Real Time Scheduling AlgorithmsIOSR Journals
This document summarizes and reviews real-time scheduling algorithms. It discusses both static and dynamic scheduling algorithms for real-time tasks on uniprocessors and multiprocessors. The document reviews algorithms such as Earliest Deadline First, Least Laxity First, and Modified Instantaneous Utilization Factor Scheduling. It concludes that Modified Instantaneous Utilization Factor Scheduling provides better results than previous algorithms in terms of context switching, response time, and CPU utilization for uniprocessor scheduling.
The ppt contains detail about issues and scheduling technique of real-time systems. It includes scheduling both online and offline for uniprocessor system. The applications of real-time system is also there
Real time Scheduling in Operating System for Msc CSThanveen
This document discusses real-time scheduling and algorithms. It defines real-time systems as systems where correctness depends on both functional and temporal aspects. Key aspects of real-time scheduling include determinism, responsiveness, reliability and meeting deadlines. Common real-time scheduling algorithms discussed include rate monotonic scheduling, earliest deadline first, and dynamic scheduling approaches. The document also covers priority inversion which can occur when higher priority tasks must wait for lower priority tasks in preemptive multitasking systems.
1. Real-time systems are systems where the correctness depends on both the logical result and the time at which the results are produced.
2. Real-time systems have performance deadlines where computations and actions must be completed. Deadlines can be time-driven or event-driven.
3. Real-time systems are classified as hard, firm, or soft depending on how critical meeting deadlines are. They are used in applications like medical equipment, automotive systems, and avionics.
This document discusses real-time systems and operating systems. It defines real-time systems as those that must complete work and deliver services on time. Hard real-time systems have fatal consequences for missed deadlines, while soft real-time systems have degraded performance. Real-time operating systems use scheduling algorithms like priority scheduling to deterministically allocate CPUs and resources. They also address issues like priority inversion and interrupt handling to ensure timing constraints are always met.
The document discusses real-time embedded systems and real-time operating system (RTOS) scheduling. It introduces key concepts like hard and soft real-time systems, embedded systems, and RTOS scheduling techniques including round robin, function pointer based, and priority-based preemptive scheduling. The document also covers rate monotonic scheduling and static priority driven preemptive scheduling assumptions and theorems.
The document discusses real-time embedded systems and real-time operating system (RTOS) scheduling. It introduces key concepts like hard and soft real-time systems, embedded systems, and RTOS scheduling techniques including round robin, function pointer based, and priority-based preemptive scheduling. The document also covers rate monotonic scheduling and static priority driven preemptive scheduling assumptions and theorems.
The document discusses real-time systems and scheduling strategies for tasks in real-time systems. It defines real-time systems as systems that must respond to inputs within a specified time period. It describes different types of tasks (periodic, aperiodic, sporadic) and characteristics of real-time systems like determinism and responsiveness. It also summarizes common scheduling algorithms for real-time tasks like cyclic executive, rate monotonic scheduling, earliest deadline first scheduling and compares static priority versus dynamic priority scheduling.
This document provides an overview of real-time operating systems (RTOS), including their key characteristics, scheduling approaches, and commercial examples. RTOS are used in applications that require tasks to complete work and deliver services on time. They use priority-based and clock-driven scheduling algorithms like rate monotonic analysis and earliest deadline first to ensure real-time constraints are met. Commercial RTOS aim to provide features like priority levels, fast task preemption, and predictable interrupt handling for real-time applications.
Sara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time Systemsknowdiff
PhD Candidate,
Department of Computer science
Mälardalen University
Time: Tuesday, Dec. 30, 2014, 11:30 a.m.
Location: Computer Engineering Department, Urmia University
Abstract:
The processor is the brain of a computer system. Usually, one or more programs run on a processor where each program is typically responsible for performing a particular task or function of the system. The performance of all the tasks together results in the system functionality. In many computer systems, it is not only enough that all tasks deliver correct output, but it is also crucial that these activities are delivered in a proper time. This type of systems that have timing requirements are known as real-time systems. A scheduler is responsible for scheduling all tasks on the processor, i.e., it dictates which task to run and when to run to ensure that all tasks are carried out on time. Typically, such tasks/programs need to use the computer system’s hardware and software resources to perform their calculation. Examples of such type of resources that are shared among programs are I/O devices, buffers and memories. Technology that is used for the management of shared resources is known as resource sharing synchronization protocol.
In recent years, a shift from single-processor platforms to multiprocessor platforms has become inevitable due to availability of processor chips and requirements on increased performance. Scheduling and resource sharing protocols have been well studied for uniprocessor systems. However, in the context of multiprocessors, still such techniques are not fully mature. The shift towards multi-core technology has revealed the demand for real-time scheduling algorithms along with synchronization protocols to support real-time applications on multiprocessors, both with and without dependencies.
In this talk, we first have an introduction to real-time embedded systems. Next, we look at scheduling and resource sharing policies in uniprocessor platforms. Further, we discuss the extension of scheduling and resource sharing policies for multiprocessor platforms and present the recent challenges arisen in this context.
Biography:
Sara Afshar is a PhD student at Mälardalen University. She has received her B.Sc. degree in Electrical Engineering from Tabriz University, Iran in 2002. She worked at different engineering companies until 2009. In the year 2010 she started her M.Sc. in Embedded Systems at Mälardalen University. She obtained her Master degree in 2012 and at the same year she started her PhD studies in Mälardalen University. Currently she is working on the topic of resource sharing in multiprocessor systems. She is part of the Complex Real-Time Embedded Systems group at Mälardalen University.
This document discusses various concepts related to scheduling processes in operating systems. It covers the objectives of scheduling including maximizing CPU utilization and throughput while minimizing turnaround time and waiting time. It also discusses different types of scheduling algorithms like first-come first-served, shortest job first, priority scheduling, and round robin. For each algorithm, it provides details on how it works and its advantages and disadvantages. The document also covers different types of systems like batch, interactive, and real-time systems and the criteria used for scheduling in each.
This document discusses different approaches to CPU scheduling. It describes three levels of scheduling: long-term, medium-term, and short-term. For short-term scheduling, which determines the next ready process to execute, it covers scheduling algorithms like first-come first-served (FCFS), shortest job first (SJF), shortest remaining time (SRT), and round-robin. It analyzes the advantages and disadvantages of each approach with respect to criteria like CPU utilization, waiting time, response time, and turnaround time.
This document discusses different approaches to CPU scheduling. It describes three levels of scheduling: long-term, medium-term, and short-term. For short-term scheduling, which determines the next ready process to execute, it covers scheduling algorithms like first-come first-served (FCFS), shortest job first (SJF), shortest remaining time (SRT), and round-robin. It analyzes the advantages and disadvantages of each approach with regards to criteria like CPU utilization, waiting time, throughput, response time and turnaround time.
This document discusses CPU scheduling in operating systems. It covers basic scheduling concepts like multiprogramming and preemptive scheduling. It then describes the role of the scheduler and dispatcher in selecting which process runs on the CPU. Several common scheduling algorithms are explained like first-come first-served, shortest job first, priority scheduling, and round robin. Factors for evaluating scheduling performance and examples of scheduling in Linux and real-time systems are also summarized.
The document discusses scheduling techniques for real-time systems. It covers topics like cyclic executives, fixed priority scheduling, earliest deadline first scheduling, utilization-based schedulability tests, and response time analysis. Response time analysis calculates the worst-case response time of processes to determine if deadlines are met, providing a necessary and sufficient test for schedulability.
An RTOS differs from a common OS in that it allows direct access to the microprocessor and peripherals, helping to meet deadlines. An RTOS provides mechanisms for multitasking like scheduling, context switching, and IPC. It uses techniques like priority-based preemptive scheduling and memory management with separate stacks and heaps for tasks. Common RTOS services include timing functions, synchronization, resource protection and communication between processes.
The document discusses process management in operating systems. It covers control blocks, interrupts, process states, scheduling algorithms like FIFO, SJF, SRTF, Round Robin and priority scheduling. It also discusses queuing, multiprogramming vs time sharing and scheduling criteria like CPU utilization, throughput, turnaround time and waiting time. Scheduling can be long, medium or short term and algorithms include priority queues and multilevel feedback queues.
Embedded systems require scheduling algorithms to optimize resource usage and meet real-time constraints. The earliest deadline first (EDF) algorithm schedules tasks based on closest deadline. It is optimal for preemptive uniprocessor systems. Rate monotonic scheduling prioritizes tasks based on duration, guaranteeing time constraints up to 70% CPU load. Least laxity first schedules by slack time, but does not handle mixed criticality tasks well. EDF outperforms other algorithms for real-time embedded systems.
CPU Scheduling is a process of determining which process will own CPU for execution while another process is on hold. The main task of CPU scheduling is to make sure that whenever the CPU remains idle, the OS at least select one of the processes available in the ready queue for execution.
This document provides an overview of CPU scheduling concepts and algorithms. It discusses key scheduling concepts like multiprogramming and processes. It then covers various scheduling algorithms like first-come first-served, shortest job first, priority-based, and round robin. It also discusses scheduling criteria, multilevel queues, multiple processor scheduling, real-time scheduling, and how scheduling algorithms are evaluated. The goal of scheduling is to optimize criteria like wait time, response time, and throughput.
The document describes the system architecture for an augmented cognition system. It includes sensors that assess cognitive state, a cognitive state assessor that analyzes sensor data, and various components that select and sequence tasks or switch modalities based on the assessed cognitive state. The goal is to maximize operator performance by detecting and mitigating cognitive overload. It provides details on the sensors used, cognitive state gauges, mitigation strategies like pacing and task sequencing, and how tasks are selected and routed through the system.
Scheduling refers to allocating computing resources like processor time and memory to processes. In cloud computing, scheduling maps jobs to virtual machines. There are two levels of scheduling - at the host level to distribute VMs, and at the VM level to distribute tasks. Common scheduling algorithms include first-come first-served (FCFS), shortest job first (SJF), round robin, and max-min. FCFS prioritizes older jobs but has high wait times. SJF prioritizes shorter jobs but can starve longer ones. Max-min prioritizes longer jobs to optimize resource use. The choice depends on goals like throughput, latency, and fairness.
This document provides an overview of real-time operating systems and resource management. It begins with introducing the purposes and characteristics of real-time and embedded applications. It then discusses the general architecture of real-time operating systems, including scheduling strategies, process synchronization, handling sporadic events, and resource management. The document also covers scheduling algorithms like rate monotonic scheduling and earliest deadline first scheduling, and analyses their performance through schedulability tests.
CPU scheduling determines which process will be assigned to the CPU for execution. There are several types of scheduling algorithms:
First-come, first-served (FCFS) assigns processes in the order they arrive without preemption. Shortest-job-first (SJF) selects the process with the shortest estimated run time, but may result in starvation of longer processes. Priority scheduling assigns priorities to processes and selects the highest priority process, but low priority processes risk starvation.
multiprocessor real_ time scheduling.pptnaghamallella
This document discusses different scheduling models for multiprocessor real-time systems, including global scheduling, partitioned scheduling, and semi-partitioned scheduling. Global scheduling uses a shared ready queue and allows tasks to migrate between processors, but can cause overhead from migration and scheduling anomalies. Partitioned scheduling assigns each task to a dedicated processor to avoid migration, but may underutilize processors. Semi-partitioned scheduling first partitions tasks then allows some to migrate to improve utilization.
The document discusses real-time systems and scheduling strategies for tasks in real-time systems. It defines real-time systems as systems that must respond to inputs within a specified time period. It describes different types of tasks (periodic, aperiodic, sporadic) and characteristics of real-time systems like determinism and responsiveness. It also summarizes common scheduling algorithms for real-time tasks like cyclic executive, rate monotonic scheduling, earliest deadline first scheduling and compares static priority versus dynamic priority scheduling.
This document provides an overview of real-time operating systems (RTOS), including their key characteristics, scheduling approaches, and commercial examples. RTOS are used in applications that require tasks to complete work and deliver services on time. They use priority-based and clock-driven scheduling algorithms like rate monotonic analysis and earliest deadline first to ensure real-time constraints are met. Commercial RTOS aim to provide features like priority levels, fast task preemption, and predictable interrupt handling for real-time applications.
Sara Afshar: Scheduling and Resource Sharing in Multiprocessor Real-Time Systemsknowdiff
PhD Candidate,
Department of Computer science
Mälardalen University
Time: Tuesday, Dec. 30, 2014, 11:30 a.m.
Location: Computer Engineering Department, Urmia University
Abstract:
The processor is the brain of a computer system. Usually, one or more programs run on a processor where each program is typically responsible for performing a particular task or function of the system. The performance of all the tasks together results in the system functionality. In many computer systems, it is not only enough that all tasks deliver correct output, but it is also crucial that these activities are delivered in a proper time. This type of systems that have timing requirements are known as real-time systems. A scheduler is responsible for scheduling all tasks on the processor, i.e., it dictates which task to run and when to run to ensure that all tasks are carried out on time. Typically, such tasks/programs need to use the computer system’s hardware and software resources to perform their calculation. Examples of such type of resources that are shared among programs are I/O devices, buffers and memories. Technology that is used for the management of shared resources is known as resource sharing synchronization protocol.
In recent years, a shift from single-processor platforms to multiprocessor platforms has become inevitable due to availability of processor chips and requirements on increased performance. Scheduling and resource sharing protocols have been well studied for uniprocessor systems. However, in the context of multiprocessors, still such techniques are not fully mature. The shift towards multi-core technology has revealed the demand for real-time scheduling algorithms along with synchronization protocols to support real-time applications on multiprocessors, both with and without dependencies.
In this talk, we first have an introduction to real-time embedded systems. Next, we look at scheduling and resource sharing policies in uniprocessor platforms. Further, we discuss the extension of scheduling and resource sharing policies for multiprocessor platforms and present the recent challenges arisen in this context.
Biography:
Sara Afshar is a PhD student at Mälardalen University. She has received her B.Sc. degree in Electrical Engineering from Tabriz University, Iran in 2002. She worked at different engineering companies until 2009. In the year 2010 she started her M.Sc. in Embedded Systems at Mälardalen University. She obtained her Master degree in 2012 and at the same year she started her PhD studies in Mälardalen University. Currently she is working on the topic of resource sharing in multiprocessor systems. She is part of the Complex Real-Time Embedded Systems group at Mälardalen University.
This document discusses various concepts related to scheduling processes in operating systems. It covers the objectives of scheduling including maximizing CPU utilization and throughput while minimizing turnaround time and waiting time. It also discusses different types of scheduling algorithms like first-come first-served, shortest job first, priority scheduling, and round robin. For each algorithm, it provides details on how it works and its advantages and disadvantages. The document also covers different types of systems like batch, interactive, and real-time systems and the criteria used for scheduling in each.
This document discusses different approaches to CPU scheduling. It describes three levels of scheduling: long-term, medium-term, and short-term. For short-term scheduling, which determines the next ready process to execute, it covers scheduling algorithms like first-come first-served (FCFS), shortest job first (SJF), shortest remaining time (SRT), and round-robin. It analyzes the advantages and disadvantages of each approach with respect to criteria like CPU utilization, waiting time, response time, and turnaround time.
This document discusses different approaches to CPU scheduling. It describes three levels of scheduling: long-term, medium-term, and short-term. For short-term scheduling, which determines the next ready process to execute, it covers scheduling algorithms like first-come first-served (FCFS), shortest job first (SJF), shortest remaining time (SRT), and round-robin. It analyzes the advantages and disadvantages of each approach with regards to criteria like CPU utilization, waiting time, throughput, response time and turnaround time.
This document discusses CPU scheduling in operating systems. It covers basic scheduling concepts like multiprogramming and preemptive scheduling. It then describes the role of the scheduler and dispatcher in selecting which process runs on the CPU. Several common scheduling algorithms are explained like first-come first-served, shortest job first, priority scheduling, and round robin. Factors for evaluating scheduling performance and examples of scheduling in Linux and real-time systems are also summarized.
The document discusses scheduling techniques for real-time systems. It covers topics like cyclic executives, fixed priority scheduling, earliest deadline first scheduling, utilization-based schedulability tests, and response time analysis. Response time analysis calculates the worst-case response time of processes to determine if deadlines are met, providing a necessary and sufficient test for schedulability.
An RTOS differs from a common OS in that it allows direct access to the microprocessor and peripherals, helping to meet deadlines. An RTOS provides mechanisms for multitasking like scheduling, context switching, and IPC. It uses techniques like priority-based preemptive scheduling and memory management with separate stacks and heaps for tasks. Common RTOS services include timing functions, synchronization, resource protection and communication between processes.
The document discusses process management in operating systems. It covers control blocks, interrupts, process states, scheduling algorithms like FIFO, SJF, SRTF, Round Robin and priority scheduling. It also discusses queuing, multiprogramming vs time sharing and scheduling criteria like CPU utilization, throughput, turnaround time and waiting time. Scheduling can be long, medium or short term and algorithms include priority queues and multilevel feedback queues.
Embedded systems require scheduling algorithms to optimize resource usage and meet real-time constraints. The earliest deadline first (EDF) algorithm schedules tasks based on closest deadline. It is optimal for preemptive uniprocessor systems. Rate monotonic scheduling prioritizes tasks based on duration, guaranteeing time constraints up to 70% CPU load. Least laxity first schedules by slack time, but does not handle mixed criticality tasks well. EDF outperforms other algorithms for real-time embedded systems.
CPU Scheduling is a process of determining which process will own CPU for execution while another process is on hold. The main task of CPU scheduling is to make sure that whenever the CPU remains idle, the OS at least select one of the processes available in the ready queue for execution.
This document provides an overview of CPU scheduling concepts and algorithms. It discusses key scheduling concepts like multiprogramming and processes. It then covers various scheduling algorithms like first-come first-served, shortest job first, priority-based, and round robin. It also discusses scheduling criteria, multilevel queues, multiple processor scheduling, real-time scheduling, and how scheduling algorithms are evaluated. The goal of scheduling is to optimize criteria like wait time, response time, and throughput.
The document describes the system architecture for an augmented cognition system. It includes sensors that assess cognitive state, a cognitive state assessor that analyzes sensor data, and various components that select and sequence tasks or switch modalities based on the assessed cognitive state. The goal is to maximize operator performance by detecting and mitigating cognitive overload. It provides details on the sensors used, cognitive state gauges, mitigation strategies like pacing and task sequencing, and how tasks are selected and routed through the system.
Scheduling refers to allocating computing resources like processor time and memory to processes. In cloud computing, scheduling maps jobs to virtual machines. There are two levels of scheduling - at the host level to distribute VMs, and at the VM level to distribute tasks. Common scheduling algorithms include first-come first-served (FCFS), shortest job first (SJF), round robin, and max-min. FCFS prioritizes older jobs but has high wait times. SJF prioritizes shorter jobs but can starve longer ones. Max-min prioritizes longer jobs to optimize resource use. The choice depends on goals like throughput, latency, and fairness.
This document provides an overview of real-time operating systems and resource management. It begins with introducing the purposes and characteristics of real-time and embedded applications. It then discusses the general architecture of real-time operating systems, including scheduling strategies, process synchronization, handling sporadic events, and resource management. The document also covers scheduling algorithms like rate monotonic scheduling and earliest deadline first scheduling, and analyses their performance through schedulability tests.
CPU scheduling determines which process will be assigned to the CPU for execution. There are several types of scheduling algorithms:
First-come, first-served (FCFS) assigns processes in the order they arrive without preemption. Shortest-job-first (SJF) selects the process with the shortest estimated run time, but may result in starvation of longer processes. Priority scheduling assigns priorities to processes and selects the highest priority process, but low priority processes risk starvation.
multiprocessor real_ time scheduling.pptnaghamallella
This document discusses different scheduling models for multiprocessor real-time systems, including global scheduling, partitioned scheduling, and semi-partitioned scheduling. Global scheduling uses a shared ready queue and allows tasks to migrate between processors, but can cause overhead from migration and scheduling anomalies. Partitioned scheduling assigns each task to a dedicated processor to avoid migration, but may underutilize processors. Semi-partitioned scheduling first partitions tasks then allows some to migrate to improve utilization.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Physiology and chemistry of skin and pigmentation, hairs, scalp, lips and nail, Cleansing cream, Lotions, Face powders, Face packs, Lipsticks, Bath products, soaps and baby product,
Preparation and standardization of the following : Tonic, Bleaches, Dentifrices and Mouth washes & Tooth Pastes, Cosmetics for Nails.
1. Department of Information Technology
Session 2018-19
Eight Semester
Subject Incharge: Prof. Sarvesh Warjurkar
1
Department of Information Technology
Embedded Systems
UNIT –III
2. Syllabus
UNIT –III
• Architecture of the kernel, Tasks and Task Scheduler,
Threads , ISR, Multiprocessing and Multitasking,
Semaphore and Shared Data, Mutex, Mailboxes,
Message Queue, Events, Pipes, Timers, Signals,
Memory Management, RTOS Task Scheduling
Models, Interrupt Latency, Response of the task, OS
Security issues, Introduction to Android.
Department of Information Technology 2
3. Windows Architecture
hardware interfaces (buses, I/O devices, interrupts,
interval timers, DMA, memory cache control, etc., etc.)
System Service Dispatcher
Task Manager
Explorer
SvcHost.Exe
WinMgt.Exe
SpoolSv.Exe
Service
Control Mgr.
LSASS
Object
Mgr.
Windows
USER,
GDI
File
System
Cache
I/O Mgr
Environment
Subsystems
User
Application
Subsystem DLLs
System Processes Services Applications
System
Threads
User
Mode
Kernel
Mode
NTDLL.DLL
Device &
File Sys.
Drivers
WinLogon
Session Manager
Services.Exe POSIX
Windows DLLs
Plug
and
Play
Mgr.
Power
Mgr.
Security
Reference
Monitor
Virtual
Memory
Processes
&
Threads
Local
Procedure
Call
Graphics
Drivers
Kernel
Hardware Abstraction Layer (HAL)
(kernel mode callable interfaces)
Configura-
tion
Mgr
(registry)
OS/2
Windows
Copyright Microsoft Corporation
4. Kernel-mode Architecture of Windows
Copyright Microsoft Corporation
NT API stubs (wrap sysenter) -- system library (ntdll.dll)
user
mode
kernel
mode
NTOS executive layer
Trap/Exception/Interrupt Dispatch
CPU mgmt: scheduling, synchr, ISRs/DPCs/APCs
Drivers
Devices, Filters,
Volumes,
Networking,
Graphics
Hardware Abstraction Layer (HAL): BIOS/chipset details
firmware/
hardware CPU, MMU, APIC, BIOS/ACPI, memory, devices
NTOS
kernel
layer
Caching Mgr
Security
Procs/Threads
Virtual Memory
IPC
glue
I/O
Object Mgr
Registry
Copyright Microsoft Corporation
5. Real-Time System
• Real-time systems have been defined as: “those systems in
which the correctness of the system depends not only on the
logical result of the computation, but also on the time at
which the results are produced“
• Correct function at correct time
• Usually embedded
• Deadlines
– Hard real-time systems
– Soft real-time systems
6. Real-Time System continue
• Soft RTS: meet timing constraints most of the time, it is not
necessary that every time constraint be met. Some deadline
miss is tolerated.
• Hard RTS: meet all time constraints exactly, Every resource
management system must work in the correct order to meet
time constraints. No deadline miss is allowed.
7. Tasks Categories
• Invocation
– Periodic (time-triggered)
– Aperiodic (event-triggered)
• Creation
– Static
– Dynamic
• Multi-Tasking System
– Preemptive: higher-priority process taking control
of the processor from a lower-priority
– Non-Preemptive : Each task can control the CPU
for as long as it needs it.
8. Why we need scheduling ?!
• each computation (task) we want to execute needs resources
• resources: processor, memory segments, communication, I/O
devices etc.)
• the computation must be executed in particular order
(relative to each other and/or relative to time)
• the possible ordering is either completely or statistically a
priori known (described)
• scheduling: assignment of processor to computations;
• allocation: assignment of other resources to computations;
9. • Job (Jij): Unit of work, scheduled and executed by system. Jobs
repeated at regular or semi-regular intervals modeled as
periodic
• Task (Ti): Set of related jobs.
• Jobs scheduled and allocated resources based on a set of
scheduling algorithms and access control protocols.
• Scheduler: Module implementing scheduling algorithms
• Schedule: assignment of all jobs to available processors,
produced by scheduler.
• Valid schedule: All jobs meet their deadline
• Clock-driven scheduling vs Event(priority)-driven scheduling
• Fixed Priority vs Dynamic Priority assignment
Real-time Scheduling Taxonomy
10. Scheduling Periodic Tasks
In hard real-time systems, set of tasks are known apriori
Task Ti is a series of periodic Jobs Jij. Each task has the
following parameters
ti - period, minimum interrelease interval between jobs in
Task Ti.
ci - maximum execution time for jobs in task Ti.
rij - release time of the jth Job in Task i (Jij in Ti).
i - phase of Task Ti, equal to ri1.
ui - utilization of Task Ti = ci / ti
In addition the following parameters apply to a set of
tasks
H - Hyperperiod = Least Common Multiple of pi for all i: H =
lcm(pi), for all i.
U - Total utilization = Sum over all ui.
11. Real-Time Scheduling Algorithms
Fixed Priority Algorithms Dynamic Priority Algorithms Hybrid algorithms
Rate
Monotonic
scheduling
Deadline
Monotonic
scheduling
Earliest
Deadline
First
Least Laxity
First
Maximum
Urgency
First
12. Scheduling Algorithm
Static vs. Dynamic
Static Scheduling:
All scheduling decisions at compile time.
Temporal task structure fixed.
Precedence and mutual exclusion satisfied by the
schedule (implicit synchronization).
One solution is sufficient.
Any solution is a sufficient schedulability test.
Benefits
Simplicity
13. Scheduling Algorithm
Static vs. Dynamic
• Dynamic Scheduling:
– All scheduling decisions at run time.
• Based upon set of ready tasks.
• Mutual exclusion and synchronization enforced by
explicit synchronization constructs.
– Benefits
• Flexibility.
• Only actually used resources are claimed.
– Disadvantages
• Guarantees difficult to support
• Computational resources required for scheduling
14. Scheduling Algorithm
Preemptive vs. Nonpreemptive
• Preemptive Scheduling:
– Event driven.
• Each event causes interruption of running tasks.
• Choice of running tasks reconsidered after each
interruption.
– Benefits:
• Can minimize response time to events.
– Disadvantages:
• Requires considerable computational resources for
scheduling
15. • Nonpreemptive Scheduling:
– Tasks remain active till completion
• Scheduling decisions only made after task completion.
– Benefits:
• Reasonable when
task execution times ~= task switching times.
• Less computational resources needed for scheduling
– Disadvantages:
• Can leads to starvation (not met the deadline)
especially for those real time tasks ( or high priority
tasks).
Scheduling Algorithm
Preemptive vs. Nonpreemptive
16. Rate Monotonic scheduling
• Priority assignment based on rates of tasks
• Higher rate task assigned higher priority
• Schedulable utilization = 0.693 (Liu and Leyland)
Where Ci is the computation time, and Ti is the release period
• If U < 0.693, schedulability is guaranteed
• Tasks may be schedulable even if U > 0.693
18. Deadline Monotonic scheduling
• Priority assignment based on relative deadlines of tasks
• Shorter the relative deadline, higher the priority
19. Earliest Deadline First (EDF)
• Dynamic Priority Scheduling
• Priorities are assigned according to deadlines:
– Earlier deadline, higher priority
– Later deadline, lower priority
• The first and the most effectively widely used dynamic
priority-driven scheduling algorithm.
• Effective for both preemptive and non-preemptive scheduling.
20. Two Periodic Tasks
• Execution profile of two periodic tasks
– Process A
• Arrives 0 20 40 …
• Execution Time 10 10 10 …
• End by 20 40 60 …
– Process B
• Arrives 0 50 100 …
• Execution Time 25 25 25 …
• End by 50 100 150 …
• Question: Is there enough time for the execution of two periodic
tasks?
21.
22. Five Periodic Tasks
• Execution profile of five periodic tasks
Process Arrival Time
Execution
Time
Starting
Deadline
A 10 20 110
B 20 20 20
C 40 20 50
D 50 20 90
E 60 20 70
23.
24. Least Laxity First (LLF)
• Dynamic preemptive scheduling with dynamic priorities
• Laxity : The difference between the time until a tasks
completion deadline and its remaining processing time
requirement.
• a laxity is assigned to each task in the system and minimum
laxity tasks are executed first.
• Larger overhead than EDF due to higher number of context
switches caused by laxity changes at run time
– Less studies than EDF due to this reason
25. Least Laxity First Cont
• LLF considers the execution time of a task, which EDF does
not.
• LLF assigns higher priority to a task with the least laxity.
• A task with zero laxity must be scheduled right away and
executed without preemption or it will fail to meet its
deadline.
• The negative laxity indicates that the task will miss the
deadline, no matter when it is picked up for execution.
27. Maximum Urgency First Algorithm
• This algorithm is a combination of fixed and dynamic priority
scheduling, also called mixed priority scheduling.
• With this algorithm, each task is given an urgency which is
defined as a combination of two fixed priorities (criticality and
user priority) and a dynamic priority that is inversely
proportional to the laxity.
• The MUF algorithm assigns priorities in two phases
• Phase One concerns the assignment of static priorities to
tasks
• Phase Two deals with the run-time behavior of the MUF
scheduler
28. The first phase consists of these steps :
1) It sorts the tasks from the shortest period to the longest
period. Then it defines the critical set as the first N tasks such
that the total CPU load factor does not exceed 100%. These
tasks are guaranteed not to fail even during a transient
overload.
2) All tasks in the critical set are assigned high criticality. The
remaining tasks are considered to have low criticality.
3) Every task in the system is assigned an optional unique user
priority
Maximum Urgency First Algorithm phase 1
29. In the second phase, the MUF scheduler follows an algorithm
to select a task for execution.
This algorithm is executed whenever a new task is arrived to
the ready queue.
The algorithm is as follows:
1) If there is only one highly critical task, pick it up and execute it.
2) If there are more than one highly critical task, select the one
with the highest dynamic priority. Here, the task with the least
laxity is considered to be the one with the highest priority.
3) If there is more than one task with the same laxity, select the
one with the highest user priority.
Maximum Urgency First Algorithm phase 2
32. What is real-time?
• Correctness of output depends on timing as
well as result
• Hard vs. soft real-time
• Are Windows and Linux real-time?
33. In a Hard RTOS…
• Thread priorities can be set by the client
• Threads always run according to priority
• Kernel must be preemptible or bounded
• Interrupts must be bounded
• No virtual memory
34. In a Soft RTOS…
• Like a hard RTOS:
– Priority scheduling, with no degradation
– Low dispatch latency
– Preemptible system calls
– No virtual memory (or allow pages to be locked)
• Linux: guarantees about relative timing of
tasks, no guarantees about syscalls
35. Basic RTOS References
• http://www.dedicated-
systems.com/encyc/publications/faq/rtfaq.htm
• http://www.steroidmicros.com/mtkernel.html
• http://www.qnx.com/developer/articles/dec1200b/
• Silberschatz and Galvin, Operating System Concepts.
36. Example RTOS’s
• Micrium c-OS II
http://www.ucos-ii.com/
• AvrX
http://www.barello.net/avrx/
• RTLinux
http://fsmlabs.com/developers/man_pages
/
• QNX Neutrino
http://www.qnx.com/
37. c-OS II
• Features
• Sample main() function
• Calling OSTaskCreate()
• Creating a task
38. C-OS II
• Ports to the AVR, ATmega103
• Comes with book: Micro-C OS: The Real-Time
Kernel by Jean Labrosse ($52)
• Features
– Semaphores and mutexes
– Event flags
– Message mailboxes and queues
– Task management (priority settings)
39. void main (void) {
/* Perform Initializations */
...
OSInit();
...
/* Create at least one task by
calling OSTaskCreate() */
OSStart();
}
C-OS Sample Code
41. void UserTask (void *pdata) {
pdata = pdata;
/* User task initialization */
while (1) {
/* User code goes here */
/* You MUST invoke a service
provided by µC/OS-II to: */
/* ... a) Delay the task for ‘n’
ticks */
/* ... b) Wait on a semaphore */
/* ... c) Wait for a message from a
task or an ISR */
/* ... d) Suspend execution of this
C-OS Sample Code
43. AvrX Specs
• Code size: 500-700 words (2x bigger with
debug monitor)
• 16 priority levels
• Overhead: 20% of CPU
• Version 2.3 for assembly code, 2.6 for C
interface
44. AvrX Internals
• Routine _Prolog saves state, _Epilog
restores it
• Task info stored in a PID block and a task
control block
• Modules for timers, semaphores, etc.