scholarly journals Implementation and Evaluation of Mixed-Criticality Scheduling Approaches for Periodic Tasks

2012 ◽  
Author(s):  
Huang-Ming Huang ◽  
Christopher Gill ◽  
Chenyang Lu
Keyword(s):  
Periodic Tasks ◽  
Mixed Criticality

Evaluation of Two Mixed-Criticality Scheduling Algorithm for Periodic Tasks

2014 ◽  
Vol 513-517 ◽  
pp. 1160-1164
Author(s):  
Shu Juan Huang ◽  
Yi An Zhu
Keyword(s):  
Scheduling Algorithm ◽  
The Other ◽  
Earliest Deadline First ◽  
Periodic Tasks ◽  
System Utilization ◽  
Simulation Results ◽  
Earliest Deadline ◽  
Better Than ◽  
Mixed Criticality

Nowadays, there are two approach in mixed-criticality scheduling. One is reservations-based approach such as EDF-VD(Earliest Deadline First-Virtual Deadline) and the Other is priority-based scheduling such as OCBP(Own Criticality Based Priority). This paper compared the two mixed-criticality scheduling algorithm from three aspects. The simulation results show that EDF-VD is better than OCBP in completed tasks and the system utilization, but in unmissed deadline ratio the later owns the better.

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

scholarly journals Generalized Weakly Hard Schedulability Analysis for Real-Time Periodic Tasks

2021 ◽  
Vol 20 (1) ◽  
pp. 1-26
Author(s):  
Paolo Pazzaglia ◽  
Youcheng Sun ◽  
Marco Di Natale
Keyword(s):  
Real Time ◽  
Schedulability Analysis ◽  
Periodic Tasks ◽  
Time Periodic
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