Scheduling Algorithms for Real-Time Systems

نویسندگان

  • Arezou Mohammadi
  • Selim G. Akl
چکیده

The problem of real-time scheduling spans a broad spectrum of algorithms from simple uniprocessor to highly sophisticated multiprocessor scheduling algorithms. In this paper, we study the characteristics and constraints of real-time tasks which should be scheduled to be executed. Analysis methods and the concept of optimality criteria, which leads to design appropriate scheduling algorithms, will also be addressed. Then, we study real-time scheduling algorithms for uniprocessor systems, which can be divided into two major classes: off-line and on-line. On-line algorithms are partitioned into either static or dynamic-priority based algorithms. We discuss both preemptive and non-preemptive static-priority based algorithms. For dynamic-priority based algorithms, we study the two subsets; namely, planning based and best effort scheduling algorithms. Some of the uniprocessor scheduling algorithms are illustrated by examples in the Appendix. Multiprocessor scheduling algorithms is another class of real-time scheduling algorithms which is discussed in the paper as well. We also describe techniques to deal with aperiodic and sporadic tasks, precedence constraints, and priority inversion. This work was supported by the Natural Sciences and Engineering Research Council of Canada.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Efficient Genetic Algorithm for Task Scheduling on Heterogeneous Computing Systems Based on TRIZ

An efficient assignment and scheduling of tasks is one of the key elements in effective utilization of heterogeneous multiprocessor systems. The task scheduling problem has been proven to be NP-hard is the reason why we used meta-heuristic methods for finding a suboptimal schedule. In this paper we proposed a new approach using TRIZ (specially 40 inventive principles). The basic idea of thi...

متن کامل

An Efficient Genetic Algorithm for Task Scheduling on Heterogeneous Computing Systems Based on TRIZ

An efficient assignment and scheduling of tasks is one of the key elements in effective utilization of heterogeneous multiprocessor systems. The task scheduling problem has been proven to be NP-hard is the reason why we used meta-heuristic methods for finding a suboptimal schedule. In this paper we proposed a new approach using TRIZ (specially 40 inventive principles). The basic idea of thi...

متن کامل

Operating Room Scheduling Considering Patient Priorities and Operating Room Preferences: A Case Study

Operating rooms have become the most important areas in hospitals because of the scarcity and cost of resources. The present study investigates operating room scheduling and rescheduling considering the priority of surgical patients in a specialized hospital. The ultimate purpose of scheduling is to minimize patient waiting time, surgeon idle time between surgeries, and penalties for deviations...

متن کامل

A Mathematical Model and Grouping Imperialist Competitive Algorithm for Integrated Quay Crane and Yard Truck Scheduling Problem with Non-crossing Constraint

In this research, an integrated approach is presented to simultaneously solve quay crane scheduling and yard truck scheduling problems. A mathematical model was proposed considering the main real-world assumptions such as quay crane non-crossing, precedence constraints and variable berthing times for vessels with the aim of minimizing vessels completion time. Based on the numerical results, thi...

متن کامل

ارزیابی سیاست‌های زمان‌بندی در نسل چهارم شبکه‌های سلولی (LTE)

New generation of wireless networks, LTE and WiMAX, supports many services which consume a lot of resources (such as VOIP, Video Conference, Digital Video, Multimedia streams and online Multi-player Games). Supporting multi-media services in wireless communication systems provide new resource allocation challenges. Because of high loads in downlink, efficient resource allocation is vital in dow...

متن کامل

Real-time Scheduling of a Flexible Manufacturing System using a Two-phase Machine Learning Algorithm

The static and analytic scheduling approach is very difficult to follow and is not always applicable in real-time. Most of the scheduling algorithms are designed to be established in offline environment. However, we are challenged with three characteristics in real cases: First, problem data of jobs are not known in advance. Second, most of the shop’s parameters tend to be stochastic. Third, th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005