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Algorithms for Scheduling Independent Tasks
Journal of the ACM, 1976The following job sequencing problems are studied: (i) single processor job sequencing with deadlines, (ii) job sequencing on m -identical processors to minimize finish time and related problems, (iii) job sequencing on 2-identical processors to minimize weighted mean flow time.
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Feedback Scheduling for Pipelines of Tasks
2007The problem analysed in this paper is how to effectively share a pool of resources amongst software applications consisting of pipelines of communicating tasks. The goal is to guarantee that specified Quality of Service (QoS) requirements are met. To this end, we advocate the use of a scheduling mechanism able to reserve fraction of the different ...
PALOPOLI, LUIGI, CUCINOTTA, TOMMASO
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2011
In many real-time control applications, periodic activities represent the major computational demand in the system. Periodic tasks typically arise from sensory data acquisition, low-level servoing, control loops, action planning, and system monitoring.
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In many real-time control applications, periodic activities represent the major computational demand in the system. Periodic tasks typically arise from sensory data acquisition, low-level servoing, control loops, action planning, and system monitoring.
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Task Scheduling with Conflicting Objectives
2002The task scheduling problem for parallel and distributed systems was extensively studied in the literature. The outcome is a large set of heuristics, each of which generate an output schedule of the given application graph by preserving the task dependency constraints with the objective of minimizing the schedule length.
Haluk Topcuoglu, Can Sevilmis
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On Scheduling Parallel Tasks at Twilight
Theory of Computing Systems, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2015
With rising numbers of cores and increasing processor speed in computers nowadays, it is crucial for applications to be able to use this computational power. Let’s compare a processor to yourself at work. Imagine you get stuck with a task, and only your experienced teammate can help you with it. But he’s at lunch.
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With rising numbers of cores and increasing processor speed in computers nowadays, it is crucial for applications to be able to use this computational power. Let’s compare a processor to yourself at work. Imagine you get stuck with a task, and only your experienced teammate can help you with it. But he’s at lunch.
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A novel multi-satellite and multi-task scheduling method based on task network graph aggregation
Expert Systems With Applications, 2022Zhan Yang, Jun Long, Huilong Fan
exaly