Adaptive divisible load scheduling strategies for workstation clusters with unknown network resources

2005 ◽  
Vol 16 (10) ◽  
pp. 897-907 ◽  
Author(s):  
D. Ghose ◽  
Hyoung Joong Kim ◽  
Tae Hoon Kim
2016 ◽  
Vol 54 ◽  
pp. 132-143 ◽  
Author(s):  
Shamsollah Ghanbari ◽  
Mohamed Othman ◽  
Mohd Rizam Abu Bakar ◽  
Wah June Leong

2008 ◽  
Vol E91-B (7) ◽  
pp. 2234-2243 ◽  
Author(s):  
A. GHATPANDE ◽  
H. NAKAZATO ◽  
O. BEAUMONT ◽  
H. WATANABE

2018 ◽  
Vol 13 (10) ◽  
pp. 1499-1504 ◽  
Author(s):  
Jiaqi Wu ◽  
Huahu Xu

To discuss the divisible load scheduling in wireless photoelectric sensor networks, a load scheduling algorithm called EDDLT based on residual energy landscape is proposed. In the algorithm, the constant of the time needed for the induction and reporting unit data is adjusted to the variable parameters based on the residual energy. In addition, the ratio of the initial energy to the residual energy is used to carry out the effective load scheduling. By using this algorithm, when the load is allocated to each sensor node, the remaining energy of nodes is considered, and a lighter load is allocated to sensor nodes with less residual energy. EDDLT, compared to the standard divisible load scheduling method SDLT, the number of execution rounds is greatly increased when the first sensor node is dead. The experimental results showed that EDDLT had a certain effect on prolonging the lifetime of wireless photoelectric sensor networks. To sum up, the scheduling algorithm has good performance in exploring divisible load.


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