scholarly journals Using rCUDA to Reduce GPU Resource-Assignment Fragmentation Caused by Job Scheduler

2014 ◽  
Author(s):  
Pak Markthub ◽  
Akihiro Nomura ◽  
Satoshi Matsuoka
Keyword(s):  
Resource Assignment ◽  
Job Scheduler

Sparse Placement of Wavelength Convertible 3R Regenerators and Joint Resource Assignment in Large-Scale Optical Networks

2013 ◽  
Vol E96.B (7) ◽  
pp. 1845-1856
Author(s):  
Xin WANG ◽  
Filippos BALASIS ◽  
Sugang XU ◽  
Yoshiaki TANAKA
Keyword(s):  
Optical Networks ◽  
Large Scale ◽  
Resource Assignment

Industrial internet of things for smart manufacturing applications using hierarchical trustful resource assignment

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Duan Pingli ◽  
Bala Anand Muthu ◽  
Seifedine Nimer Kadry
Keyword(s):  
Internet Of Things ◽  
Manufacturing Industry ◽  
Production Systems ◽  
Intelligent Manufacturing ◽  
Smart Manufacturing ◽  
The Internet ◽  
Resource Assignment ◽  
Industrial Internet Of Things ◽  
Assignment Method ◽  
Industrial Internet

BACKGROUND: The manufacturing industry undergoes a new age, with significant changes taking place on several fronts. Companies devoted to digital transformation take their future plants inspired by the Internet of Things (IoT). The IoT is a worldwide network of interrelated physical devices, which is an essential component of the internet, including sensors, actuators, smart apps, computers, mechanical machines, and people. The effective allocation of the computing resources and the carrier is critical in the industrial internet of Things (IIoT) for smart production systems. Indeed, the existing assignment method in the smart production system cannot guarantee that resources meet the inherently complex and volatile requirements of the user are timely. Many research results on resource allocations in auction formats which have been implemented to consider the demand and real-time supply for smart development resources, but safety privacy and trust estimation issues related to these outcomes are not actively discussed. OBJECTIVES: The paper proposes a Hierarchical Trustful Resource Assignment (HTRA) and Trust Computing Algorithm (TCA) based on Vickrey Clarke-Groves (VGCs) in the computer carriers necessary resources to communicate wirelessly among IIoT devices and gateways, and the allocation of CPU resources for processing information at the CPC. RESULTS: Finally, experimental findings demonstrate that when the IIoT equipment and gateways are valid, the utilities of each participant are improved. CONCLUSION: This is an easy and powerful method to guarantee that intelligent manufacturing components genuinely work for their purposes, which want to integrate each element into a system without interactions with each other.

scholarly journals DREAM-(L)G: A Distributed Grouping-Based Algorithm for Resource Assignment for Bandwidth-Intensive Applications in the Cloud

2016 ◽  
Vol 27 (12) ◽  
pp. 3469-3484 ◽  
Author(s):  
Yuhong Zhao ◽  
Hong Jiang ◽  
Ke Zhou ◽  
Zhijie Huang ◽  
Ping Huang
Keyword(s):  
Resource Assignment

A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Grid or IaaS Cloud

2020 ◽  
Vol 8 (4) ◽  
pp. 1030-1039 ◽  
Author(s):  
Delong Cui ◽  
Zhiping Peng ◽  
Jianbin Xiong ◽  
Bo Xu ◽  
Weiwei Lin
Keyword(s):  
Reinforcement Learning ◽  
Job Scheduler
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