Results 21 to 30 of about 53,306 (313)
Network real-time scheduling algorithm based on multi-feature dynamic priority
Tongxin xuebao, 2020 Real-time task scheduling system structure and task model were proposed aiming at the network real-time scheduling problem.The task degree of urgency was defined by considering the deadline of task,execution time and interval time between works.The task ...
Xun SU +5 more
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An Overhead-Optimizing Task Scheduling Strategy for Ad-hoc Based Mobile Edge Computing
IEEE Access, 2017 In this paper, an overhead-optimizing multi-device task scheduling strategy for ad-hoc-based mobile edge computing system is proposed. This task scheduling strategy takes the opportunity consumption, time delay, energy consumption, and monetary cost into
Li Tianze +3 more
doaj +1 more source
Resource-Aware Task Scheduling [PDF]
ACM Transactions on Embedded Computing Systems, 2015 Dependency-aware task-based parallel programming models have proven to be successful for developing efficient application software for multicore-based computer architectures. The programming model is amenable to programmers, thereby supporting productivity, whereas hardware performance is achieved through a runtime system that dynamically schedules ...
Tillenius, Martin +3 more
openaire +4 more sources
IEEE Access, 2022 The idea of task scheduling is to increase the efficiency of a system by minimising wasted time, evenly loading machines, or maximising the throughput of machines.
Tomasz Ujazdowski, Robert Piotrowski
doaj +1 more source
Many-Objective Cloud Task Scheduling
IEEE Access, 2020 Task scheduling problem refers to how to reasonably arrange many tasks provided by users in virtual machines, which is very important in the cloud computing. And the quality of the scheduling performance directly affects the customer satisfaction and the
Shaojin Geng +3 more
doaj +1 more source
A Scheduling Method for Heterogeneous Signal Processing Platforms Based on Quantum Genetic Algorithm
Applied Sciences, 2023 Currently, many problems such as variable signal resources, complex execution environments, and low efficiency of scheduling algorithms are faced by heterogeneous signal processing platforms.
Yudong Li +5 more
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A Deep Reinforcement Learning Approach to the Optimization of Data Center Task Scheduling
Complexity, 2020 With more businesses are running online, the scale of data centers is increasing dramatically. The task-scheduling operation with traditional heuristic algorithms is facing the challenges of uncertainty and complexity of the data center environment.
Haiying Che +3 more
doaj +1 more source
IET Networks, 2021 In this manuscript, an upgraded Fruit Fly Optimization Algorithm (FFOA) is proposed for optimising task scheduling and resource management processes. The proposed FOA algorithm is utilized to address the issues.
K. Loheswaran
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Bone Marrow Failure as an Underrecognized Feature of KAT6A Syndrome
Pediatric Blood &Cancer, EarlyView.ABSTRACT KAT6A syndrome (Arboleda–Tham syndrome) is a rare disorder caused by heterozygous pathogenic variants in KAT6A, a histone acetyltransferase essential for chromatin remodeling and hematopoietic stem cell function. While neurodevelopmental features are well established, hematologic manifestations are underrecognized.
Ye Jee Shim +8 more
wiley +1 more source
Scheduling Moldable BSP Tasks [PDF]
, 2005 Our main goal in this paper is to study the scheduling of parallel BSP tasks on clusters of computers. We focus our attention on special characteristics of BSP tasks, which can use less processors than the original required, but with a particular cost model. We discuss the problem of scheduling a batch of BSP tasks on a fixed number of computers.
Dutot, Pierre-François +3 more
openaire +2 more sources