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ONLINE SCHEDULING OF DYNAMIC TREES
Parallel Processing Letters, 1995The scheduling problem for dynamic tree-structured task graphs is studied and is shown to be inherently more difficult than the static case. It is shown that any online scheduling algorithm, deterministic or randomized, has competitive ratio Ω((1/g)/ log d(1/g)) for trees with granularity g and degree at most d.
Michael A. Palis +4 more
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“Agency scheduling” A model for dynamic task scheduling
1995This paper describes a class of algorithms for scheduling parallel programs represented by macro dataflow graphs (task precedence graphs) onto a multiprocessor system such that the total execution time is minimized. The schedule will be computed dynamically during the runtime of the process system.
Johann Rost +2 more
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Dynamic Scheduling for Seamless Computing
2018 IEEE 8th International Symposium on Cloud and Service Computing (SC2), 2018The data generated by Internet of Things (IoT) devices is constantly increasing. The use of cloud computing to process this data is associated with network congestion, has high latency and does not provide context awareness. Fog computing has been proposed as a solution to overcome these problems.
Ludwig Mittermeier +4 more
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Dynamic Scheduling with Genetic Programming
2006This paper investigates the use of genetic programming in automatized synthesis of scheduling heuristics. The applied scheduling technique is priority scheduling, where the next state of the system is determined based on priority values of certain system elements. The evolved solutions are compared with existing scheduling heuristics for single machine
Budin, Leo, Jakobović, Domagoj
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Dynamics of propranolol dosing schedules
Clinical Pharmacology and Therapeutics, 1983Kinetic and dynamic data from 27 healthy male subjects were evaluated in a double-blind, randomized, double-crossover study to test the hypothesis that 180 mg/day propranolol twice and three times a day would provide much the same plasma levels and beta 1-blockade. The data indicate that propranolol twice rather than three times a day should be favored
J B, Coelho +8 more
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A Dynamically Reconfigurable Queue Scheduler
2006 International Conference on Field Programmable Logic and Applications, 2006In this paper the authors present the design and implementation of a dynamically reconfigurable system for packet queue scheduling. Two widely accepted queue schedulers have been implemented in reconfigurable logic in a way that can be interchanged based on the number of active queues and the quality of service (QoS) requirements.
Christoforos Kachris +1 more
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Performances of a Dynamic Threads Scheduler
2001This paper presents the design and development of a dynamic scheduler of parallel threads in the Multithreaded multiProcessor Architecture (MPA). The scheduler relies on an on-chip associative memory whose management time is overlapped with the execution of ready threads.
Smaïl Niar, Mahamed Adda
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Scheduling the dynamic job shop
[1993] Proceedings IEEE International Conference on Robotics and Automation, 2002The augmented Lagrangian decomposition and coordination technique is applied to a continuous-time formulation of the scheduling problem in a job shop environment. This methodology generates a variety of information that can be used to initialize the algorithm after changes occur, including Lagrange multipliers.
Debra J. Hoitomt, Peter B. Luh
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Dynamic scheduling of parallel applications
1995This paper is concerned with dynamic strategies for group scheduling. We present preemptive and non preemptive strategies which are suitable for scheduling parallel applications on large workstationclusters and investigate their performance behavior.
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2014
One of the problems of real-life production scheduling is dynamics of manufacturing environments with new production demands and breaking machines during the schedule execution. Simple rescheduling from scratch in response to unexpected events occurring on the shop floor may require excessive computation time.
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One of the problems of real-life production scheduling is dynamics of manufacturing environments with new production demands and breaking machines during the schedule execution. Simple rescheduling from scratch in response to unexpected events occurring on the shop floor may require excessive computation time.
openaire +1 more source