A novel evolutionary algorithm (MFO) with rate monotonic scheduling for load balancing in LTE advanced networks

2020 ◽  
Vol 22 (4) ◽  
pp. 445
Author(s):  
S. Pradeep ◽  
L. Lakshminarasimman
Keyword(s):  
Load Balancing ◽  
Evolutionary Algorithm ◽  
Rate Monotonic ◽  
Lte Advanced ◽  
Rate Monotonic Scheduling

Integration of Load Balancing into a Parallel Evolutionary Algorithm

2004 ◽  
pp. 219-230 ◽  
Author(s):  
Miguel Castro ◽  
Graciela Román ◽  
Jorge Buenabad ◽  
Alma Martínez ◽  
John Goddard
Keyword(s):  
Load Balancing ◽  
Evolutionary Algorithm ◽  
Parallel Evolutionary Algorithm

A Review of the Schedulability Tests and Optimal Design for Rate-Monotonic Scheduling

LISS 2020 ◽  
2021 ◽  
pp. 145-157
Author(s):  
Yang Li ◽  
Xiuli Wang ◽  
Tianying Liu ◽  
Youwei Wang ◽  
Jianming Zhu ◽  
...  
Keyword(s):  
Optimal Design ◽  
Rate Monotonic ◽  
Rate Monotonic Scheduling ◽  
Schedulability Tests

scholarly journals Real-Time Adaptive Traffic Signals Using Rate-Monotonic Scheduling

2019 ◽  
Vol 29 ◽  
pp. 03002 ◽  
Author(s):  
Mãdãlin-Dorin Pop
Keyword(s):  
Real Time ◽  
Intelligent Transportation Systems ◽  
Traffic Congestion ◽  
Traffic Signals ◽  
Fixed Time ◽  
Transportation Systems ◽  
Real Time Scheduling ◽  
Traffic Lights ◽  
Rate Monotonic ◽  
Rate Monotonic Scheduling

The studies and real situations shown that the traffic congestion is one of nowadays highest problems. This problem wassolved in the past using roundabouts and traffic signals. Taking in account the number of cars that is increasing continuously, we can see that past approaches using traffic lights with fixed-time controller for traffic signals timing is obsolete. The present and the future is the using of Intelligent Transportation Systems. Traffic lights systems should be aware about realtime traffic parameters and should adapt accordingly to them. The purpose of this paper is to present a new approach to control traffic signals using rate-monotonic scheduling. Obtained results will be compared with the results obtained by using others real-time scheduling algorithms.

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