Results 21 to 30 of about 44,881 (264)

Scheduling the execution of tasks at the edge [PDF]

open access: yes2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2018
The Internet of Things provides a huge infrastructure where numerous devices produce, collect and process data. These data are the basis for offering analytics to support novel applications. The processing of huge volumes of data is a demanding process, thus, the power of Cloud is already utilized.
Kostas Kolomvatsos, Thanasis Loukopoulos
openaire   +2 more sources

Network real-time scheduling algorithm based on multi-feature dynamic priority

open access: yesTongxin 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
doaj   +2 more sources

An Overhead-Optimizing Task Scheduling Strategy for Ad-hoc Based Mobile Edge Computing

open access: yesIEEE 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

Task Scheduling Mechanism Based on Reinforcement Learning in Cloud Computing

open access: yesMathematics, 2023
The explosive growth of users and applications in IoT environments has promoted the development of cloud computing. In the cloud computing environment, task scheduling plays a crucial role in optimizing resource utilization and improving overall ...
Yugui Wang, Shizhong Dong, Weibei Fan
doaj   +1 more source

Dynamic Task Scheduling Method for Space Crowdsourcing [PDF]

open access: yesJisuanji kexue, 2022
Space crowdsourcing is used to solve offline crowdsourcing tasks with time and space constraints,and it has developed rapidly in recent years.Task scheduling is an important research direction of space crowdsourcing.The difficulty lies in the dynamic ...
SHEN Biao, SHEN Li-wei, LI Yi
doaj   +1 more source

Many-Objective Cloud Task Scheduling

open access: yesIEEE 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

Resource-Aware Task Scheduling [PDF]

open access: yesACM 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 ...
Martin Tillenius   +3 more
openaire   +4 more sources

Task Scheduling–Review of Algorithms and Analysis of Potential Use in a Biological Wastewater Treatment Plant

open access: yesIEEE 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

A Deep Reinforcement Learning Approach to the Optimization of Data Center Task Scheduling

open access: yesComplexity, 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

A Scheduling Method for Heterogeneous Signal Processing Platforms Based on Quantum Genetic Algorithm

open access: yesApplied 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
doaj   +1 more source

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