Optimal Task Scheduling for Distributed Cluster With Active Storage Devices and Accelerated Nodes

With advancements in compute-intensive and memory-bound applications, the need for faster and more energy-efficient processing platforms continues. In support of these advancements, heterogeneous platforms have been proposed to enhance the performance and efficiency in the cloud. These platforms inc...

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Veröffentlicht in:	IEEE access 2018-01, Vol.6, p.48195-48209
Hauptverfasser:	Bensaleh, Mohammed S., Sharaf-Dabbagh, Yaman, Hajj, Hazem, Saghir, Mazen A. R., Akkary, Haitham, Artail, Hassan, Obeid, Abdulfattah M., Qasim, Syed Manzoor
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Cloud computing Computer storage devices Distributed architectures Field programmable gate arrays Genetic algorithms Graph representations Graphical representations heterogeneous cloud system Middleware Nodes Optimal scheduling Optimization Platforms Processor scheduling reconfigurable hardware Resource management Scheduling scheduling and task partitioning Solid state devices Task analysis Task scheduling
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