Comparison of priority-based and first price sealed-bid auction algorithms of job scheduling in a geographically-distributed computing system

2018 ◽  
Author(s):  
Boris M. Shabanov ◽  
Pavel Telegin ◽  
Oleg S. Aladyshev ◽  
Anton V. Baranov ◽  
Artem Tikhomirov
Keyword(s):  
Distributed Computing ◽  
Job Scheduling ◽  
Computing System ◽  
Sealed Bid ◽  
Auction Algorithms ◽  
Geographically Distributed

A job scheduling approach based on a learning automaton for a distributed computing system

1993 ◽  
Vol 24 (7) ◽  
pp. 1221-1231
Author(s):  
ZEN-KWEI HUANG ◽  
SHENG-DE WANG
Keyword(s):  
Distributed Computing ◽  
Job Scheduling ◽  
Computing System ◽  
Learning Automaton

scholarly journals Evolution of the LHAASO Distributed Computing System based Cloud

2020 ◽  
Vol 245 ◽  
pp. 07043
Author(s):  
Qiulan Huang ◽  
Haibo Li ◽  
Yaodong Cheng ◽  
Jingyan Shi ◽  
Wei Zheng ◽  
...  
Keyword(s):  
Distributed Computing ◽  
Job Scheduling ◽  
Computing System ◽  
Maintenance Cost ◽  
Distributed Resources ◽  
Scheduling Policy ◽  
Cross Domain ◽  
Remote Sites ◽  
Flexible Resource ◽  
Operation And Maintenance Cost

In this paper we will describe the LHAASO distributed computing system based on virtualization and cloud computing technologies. Particularly, we discuss the key points of integrating distributed resources. A solution of integrating cross-domain resources is proposed, which adopt the Openstack+HTCondor to make the distributed resources work as a whole resource pool. A flexible resource scheduling strategy and a job scheduling policy are presented to realize the resource expansion on demand and the efficient job scheduling to remote sites transparently, so as to improve the overall resource utilization. We will also introduce the deployment of the computing system located in Daocheng, the LHAASO observation base using cloud-based architecture, which greatly helps to reduce the operation and maintenance cost as well as to make sure the system availability and stability. Finally, we will show running status of the system.

Enhanced Leveled DAG Prioritized Task Scheduling Algorithm in Distributed Computing System

2016 ◽  
Vol 10 (10) ◽  
pp. 1-13
Author(s):  
Amal EL-NATTAT ◽  
Nirmeen El-Bahnasawy ◽  
Ayman EL-SAYED
Keyword(s):  
Distributed Computing ◽  
Task Scheduling ◽  
Scheduling Algorithm ◽  
Computing System ◽  
Task Scheduling Algorithm

GreenCloudNet++: Simulation framework for energy efficient and secure, green job scheduling in geographically distributed data centers

2021 ◽  
Author(s):  
Farrukh Mahmood ◽  
Farrukh Zeeshan Khan ◽  
Muneer Ahmed ◽  
Iftikhar Ahmad ◽  
Brij B. Gupta
Keyword(s):  
Energy Efficient ◽  
Data Centers ◽  
Job Scheduling ◽  
Distributed Data ◽  
Simulation Framework ◽  
Geographically Distributed

A Monte Carlo method for uncertainty evaluation implemented on a distributed computing system

Metrologia ◽  
2007 ◽  
Vol 44 (5) ◽  
pp. 319-326 ◽  
Author(s):  
T J Esward ◽  
A de Ginestous ◽  
P M Harris ◽  
I D Hill ◽  
S G R Salim ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Distributed Computing ◽  
Computing System ◽  
Uncertainty Evaluation

A distributed computing system for multivariate time series analyses of multichannel neurophysiological data

2006 ◽  
Vol 152 (1-2) ◽  
pp. 190-201 ◽  
Author(s):  
Andy Müller ◽  
Hannes Osterhage ◽  
Robert Sowa ◽  
Ralph G. Andrzejak ◽  
Florian Mormann ◽  
...  
Keyword(s):  
Time Series ◽  
Distributed Computing ◽  
Multivariate Time Series ◽  
Computing System ◽  
Neurophysiological Data ◽  
Time Series Analyses

A Ray-Based Remote Distributed Computing System for Autonomous Driving

2021 ◽  
Vol 11 (05) ◽  
pp. 1334-1340
Author(s):  
星宇 邹
Keyword(s):  
Distributed Computing ◽  
Autonomous Driving ◽  
Computing System
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