Comparison of Polling Disciplines When Analyzing Waiting Time for Signaling Message Processing at SIP-Server

Author(s):  
Yuliya Gaidamaka ◽  
Elvira Zaripova
2001 ◽  
Vol 120 (5) ◽  
pp. A370-A370
Author(s):  
C BOBROWSKI ◽  
H GHADIMPOOR ◽  
M STENECK ◽  
X ROGIERS ◽  
C BROELSCH ◽  
...  
Keyword(s):  

Optimization ◽  
1973 ◽  
Vol 4 (6) ◽  
pp. 453-462
Author(s):  
L. Cunningham ◽  
N. Singh

2014 ◽  
Author(s):  
A.M.L. Westin ◽  
C.L. Barksdale ◽  
S.H. Stephan

2007 ◽  
Author(s):  
Jason K. Clark ◽  
Duane T. Wegener ◽  
Leandre R. Fabrigar

Nature ◽  
2010 ◽  
Author(s):  
Apoorva Mandavilli
Keyword(s):  

Author(s):  
Shailendra Raghuvanshi ◽  
Priyanka Dubey

Load balancing of non-preemptive independent tasks on virtual machines (VMs) is an important aspect of task scheduling in clouds. Whenever certain VMs are overloaded and remaining VMs are under loaded with tasks for processing, the load has to be balanced to achieve optimal machine utilization. In this paper, we propose an algorithm named honey bee behavior inspired load balancing, which aims to achieve well balanced load across virtual machines for maximizing the throughput. The proposed algorithm also balances the priorities of tasks on the machines in such a way that the amount of waiting time of the tasks in the queue is minimal. We have compared the proposed algorithm with existing load balancing and scheduling algorithms. The experimental results show that the algorithm is effective when compared with existing algorithms. Our approach illustrates that there is a significant improvement in average execution time and reduction in waiting time of tasks on queue using workflowsim simulator in JAVA.


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