Results 291 to 300 of about 3,971,753 (362)
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Journal of Computer Science and Technology, 1997
This paper describes a PVM task scheduler designed and implemented by the authors. The scheduler supports selecting idle workstations, scheduling pool tasks and dynamically produced subtasks. It can improve resource utilization, reduce job response time and simplify programming.
Jiubin Ju, Yong Wang, Yu Yin
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This paper describes a PVM task scheduler designed and implemented by the authors. The scheduler supports selecting idle workstations, scheduling pool tasks and dynamically produced subtasks. It can improve resource utilization, reduce job response time and simplify programming.
Jiubin Ju, Yong Wang, Yu Yin
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Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm
Journal of Intelligent & Fuzzy Systems, 2020Cloud computing represents relatively new paradigm of utilizing remote computing resources and is becoming increasingly important and popular technology, that supports on-demand (as needed) resource provisioning and releasing in almost real-time.
Timea Bezdan +5 more
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ACM SIGOPS Operating Systems Review, 1996
This paper describes a PVM task scheduler designed and implemented by the authors. The scheduler supports selecting idle workstations, scheduling pool tasks and dynamically produced subtasks. It can improve resource utilization, reduce job response time and simplize programming.
Jiubin Ju, Yong Wang
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This paper describes a PVM task scheduler designed and implemented by the authors. The scheduler supports selecting idle workstations, scheduling pool tasks and dynamically produced subtasks. It can improve resource utilization, reduce job response time and simplize programming.
Jiubin Ju, Yong Wang
openaire +1 more source
Task scheduling based on deep reinforcement learning in a cloud manufacturing environment
Concurrency and Computation, 2020Cloud manufacturing promotes the transformation of intelligence for the traditional manufacturing mode. In a cloud manufacturing environment, the task scheduling plays an important role. However, as the number of problem instances increases, the solution
Tingting Dong +3 more
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DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing
Multimedia tools and applications, 2023S. Mangalampalli +5 more
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IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003
This paper presents a brief description of an intelligent system, used in the control of load exchange between two robotic manipulators. An intelligent tasks scheduler, that uses mainly fuzzy logic to define which task will be executed in a certain instant, controls the whole system. Tasks are used in actions and in system control. In a low level, each
J.R. da Silva Ferreira +2 more
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This paper presents a brief description of an intelligent system, used in the control of load exchange between two robotic manipulators. An intelligent tasks scheduler, that uses mainly fuzzy logic to define which task will be executed in a certain instant, controls the whole system. Tasks are used in actions and in system control. In a low level, each
J.R. da Silva Ferreira +2 more
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An improved particle swarm optimization algorithm for task scheduling in cloud computing
Journal of Ambient Intelligence and Humanized Computing, 2023Poria Pirozmand +4 more
semanticscholar +1 more source
Scheduling Tasks from Selfish Multi-tasks Agents
2015We are interested in scheduling tasks from several selfish agents on a set of parallel identical machines. A coordination mechanism consists in giving a scheduling policy to each machine. Given these policies, each agent chooses the machines on which she assigns her tasks, and her aim is to minimize the average completion times of her tasks. The aim of
Cohen, Johanne, Pascual, Fanny
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Uniprocessor-Dependent Task Scheduling
2019Scheduling is the process of assigning tasks to a processor or a set of processors as in the case of a multiprocessor system or to a network of computing elements when a distributed real-time system is considered. A real-time task has a release time, execution time, a deadline, and resource requirements.
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