Modified genetic algorithm for multiobjective task scheduling on heterogeneous computing system

2011 ◽  
Vol 1 (2) ◽  
pp. 146 ◽  
Author(s):  
O.L. Sathappan ◽  
P. Chitra ◽  
P. Venkatesh ◽  
M. Prabhu
Keyword(s):  
Genetic Algorithm ◽  
Task Scheduling ◽  
Heterogeneous Computing ◽  
Computing System ◽  
Modified Genetic Algorithm ◽  
Heterogeneous Computing System

Task Optimization Scheduling Algorithm in Embedded System Based on Internet of Things

2014 ◽  
Vol 513-517 ◽  
pp. 2398-2402
Author(s):  
Dian Hong Wu
Keyword(s):  
Internet Of Things ◽  
Embedded System ◽  
Task Scheduling ◽  
Heterogeneous Computing ◽  
Scheduling Algorithm ◽  
Computing System ◽  
Task Duplication ◽  
System Task ◽  
Network Server ◽  
Heterogeneous Computing System

Embedded system has been widely used in the network, server, etc., and it has a good application prospect with the development of Internet of things. In the embedded heterogeneous computing system, task scheduling is the key to deciding the system performance. For multi-task scheduling, the current scheduling algorithm is mostly based on task duplication, without a full consideration of the correlation between the predecessor task and its subsequent tasks. Based on modeling the multi-frame task scheduling problem in the heterogeneous embedded system, this paper analyzes the availability of tasks through the design of genetic algorithm, so as to verify the algorithm's feasibility, which is of important guiding significance for the multi-task scheduling in the embedded heterogeneous computing system.

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