scholarly journals Cost-Resource Replacement Trade-off Algorithm for Multi-Skilled Resource Scheduling

2020 ◽  
Vol 13 (2) ◽  
pp. 212
Author(s):  
Narongrit Wongwai ◽  
Suphawut Malaikrisanachalee
Keyword(s):  
Resource Scheduling ◽  
Trade Off ◽  
Resource Replacement

A multi-objective trade-off framework for cloud resource scheduling based on the Deep Q-network algorithm

2020 ◽  
Vol 23 (4) ◽  
pp. 2753-2767 ◽  
Author(s):  
Zhiping Peng ◽  
Jianpeng Lin ◽  
Delong Cui ◽  
Qirui Li ◽  
Jieguang He
Keyword(s):  
Resource Scheduling ◽  
Trade Off ◽  
Multi Objective ◽  
Network Algorithm ◽  
Cloud Resource ◽  
Cloud Resource Scheduling

A Flow-Preserving Algorithm for the Time-Cost Trade-Off Problem

1982 ◽  
Vol 14 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Suleyman Tufekci
Keyword(s):  
Time Cost ◽  
Trade Off

Dual Goals for Speed and Accuracy on the Same Performance Task

2012 ◽  
Vol 11 (3) ◽  
pp. 118-126 ◽  
Author(s):  
Olive Emil Wetter ◽  
Jürgen Wegge ◽  
Klaus Jonas ◽  
Klaus-Helmut Schmidt
Keyword(s):  
Memory Scanning ◽  
Performance Task ◽  
Performance Tasks ◽  
Trade Off ◽  
Test Experiment ◽  
Trade Offs ◽  
New Finding ◽  
Sternberg Paradigm ◽  
Speed Accuracy ◽  
Speed And Accuracy

In most work contexts, several performance goals coexist, and conflicts between them and trade-offs can occur. Our paper is the first to contrast a dual goal for speed and accuracy with a single goal for speed on the same task. The Sternberg paradigm (Experiment 1, n = 57) and the d2 test (Experiment 2, n = 19) were used as performance tasks. Speed measures and errors revealed in both experiments that dual as well as single goals increase performance by enhancing memory scanning. However, the single speed goal triggered a speed-accuracy trade-off, favoring speed over accuracy, whereas this was not the case with the dual goal. In difficult trials, dual goals slowed down scanning processes again so that errors could be prevented. This new finding is particularly relevant for security domains, where both aspects have to be managed simultaneously.

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