System information-based Hadoop load balancing for heterogeneous clusters

Author(s):  
Daeho Kim ◽  
Eunseok Choi ◽  
Jiman Hong
2015 ◽  
Vol 43 (3) ◽  
pp. 43-43 ◽  
Author(s):  
Anshul Gandhi ◽  
Naman Mittal ◽  
Xi Zhang

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Shaoyi Song ◽  
Tingjie Lv ◽  
Xia Chen

In recent years, countries all over the world consider the future internet as the country’s strategic development directions, so projects about future internet have been launched by these countries. Load balancing algorithms and job allocations are main research problems in areas of resource management of future internet. In this paper, we introduce a load balancing model for future internet. We formulate the static load balancing problem in the model proposed above as noncooperative game among users and cooperative game among processors. Based on this model, we derive a load balancing algorithm for computing center. Finally, we execute the algorithm presented in this paper with another three algorithms for comparison purpose. The advantages of our algorithm are better scalability to the model, improving system performance, and low cost on maintaining system information.


2002 ◽  
Vol 18 (3) ◽  
pp. 389-400 ◽  
Author(s):  
Christopher A. Bohn ◽  
Gary B. Lamont

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