Workload Management System for Cricketers

2021 ◽  
Author(s):  
E. M. S. B. Ekanayaka ◽  
A. A. S. Gunawardhana ◽  
M. B. Mihirani ◽  
P. Silva ◽  
N. W. Prins
Keyword(s):  
Management System ◽  
Workload Management

The Workload Management System for Nursing

1990 ◽  
Author(s):  
DEPARTMENT OF THE ARMY WASHINGTON DC
Keyword(s):  
Management System ◽  
Workload Management

scholarly journals Integration of Panda Workload Management System with supercomputers

2016 ◽  
Vol 13 (5) ◽  
pp. 647-653 ◽  
Author(s):  
K. De ◽  
S. Jha ◽  
A. Klimentov ◽  
T. Maeno ◽  
R. Mashinistov ◽  
...  
Keyword(s):  
Management System ◽  
Workload Management

scholarly journals The gLite Workload Management System

2010 ◽  
Vol 219 (6) ◽  
pp. 062039 ◽  
Author(s):  
Cecchi Marco ◽  
Capannini Fabio ◽  
Dorigo Alvise ◽  
Ghiselli Antonia ◽  
Gianelle Alessio ◽  
...  
Keyword(s):  
Management System ◽  
Workload Management

scholarly journals gLExec and MyProxy integration in the ATLAS/OSG PanDA workload management system

2010 ◽  
Vol 219 (7) ◽  
pp. 072028 ◽  
Author(s):  
J Caballero ◽  
J Hover ◽  
M Litmaath ◽  
T Maeno ◽  
P Nilsson ◽  
...  
Keyword(s):  
Management System ◽  
Workload Management

scholarly journals Secure Command Line Solution for Token-based Authentication

2021 ◽  
Vol 251 ◽  
pp. 02036
Author(s):  
Dave Dykstra ◽  
Mine Altunay ◽  
Jeny Teheran
Keyword(s):  
Open Source ◽  
High Throughput ◽  
Management System ◽  
Command Line ◽  
Web Browser ◽  
Workload Management ◽  
High Throughput Computing ◽  
Industry Standard ◽  
Client Software ◽  
Security Infrastructure

The WLCG is modernizing its security infrastructure, replacing X.509 client authentication with the newer industry standard of JSON Web Tokens (JWTs) obtained through the Open ID Connect (OIDC) protocol. There is a wide variety of software available using the standards, but most of it is for Web browser-based applications and doesn’t adapt well to the command line-based software used heavily in High Throughput Computing (HTC). OIDC command line client software did exist, but it did not meet our requirements for security and convenience. This paper discusses a command line solution we have made based on the popular existing secrets management software from Hashicorp called vault. We made a package called htvault-config to easily configure a vault service and another called htgettoken to be the vault client. In addition, we have integrated use of the tools into the HTCondor workload management system, although they also work well independent of HTCondor. All of the software is open source, under active development, and ready for use.

scholarly journals Development of an Adaptive Workload Management System using the Queueing Network-Model Human Processor

2007 ◽  
Vol 51 (24) ◽  
pp. 1540-1544
Author(s):  
Changxu (Sean) Wu ◽  
Omer Tsimhoni ◽  
Yili Liu
Keyword(s):  
Network Model ◽  
Management System ◽  
Human Performance ◽  
Experimental Studies ◽  
Queueing Network ◽  
Workload Management ◽  
Driver Performance ◽  
Vehicle Systems ◽  
Driver Workload ◽  
Model Human Processor

Drivers overloaded with information from in-vehicle systems significantly increase the chance of vehicle collisions. Developing adaptive workload management systems (AWMS) to dynamically control the rate of messages from these in-vehicle systems is one of the solutions to this problem. However, existing AWMS do not use driver models to estimate workload, and only suppress or redirect messages without changing the rate of messages from the in-vehicle systems. In this work, we propose a prototype of a new adaptive workload management system, the Queuing Network-Model Human Processor (QN-MHP) AWMS, which includes a model of driver workload based on the queueing network theory of human performance that estimates driver workload in different driving situations and a message controller that dynamically controls the rate of messages presented to drivers. Corresponding experimental studies were conducted to validate the potential effectiveness of this system in reducing driver workload and improving driver performance.

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