Paper Information

Journal:   NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, B- MUHANDISI -I KAMPYUTAR   SUMMER 2016 , Volume 14 , Number 2; Page(s) 147 To 154.
 
Paper: 

A PROPOSED METHOD OF DECENTRALIZED LOAD BALANCING ALGORITHM IN HETEROGENEOUS CLOUD ENVIRONMENTS

 
 
Author(s):  HOURALI S.*, JAMALI S., HOURALI F.
 
* DEPT. OF COMP. AND ELECTRONIC, NON-GOVERNMENTAL UNIVERSITY OF SHAHROOD, SHAHROOD, I.R. IRAN
 
Abstract: 

One of the key strategies to improve the efficiency is load balancing. Choosing the appropriate VM to do any task, is function of various parameters such as the amount of required resources like CPU, memory, the size of VM resource, cost and maturity of VMs. In this paper, by considering each of these criteria and design objectives such as load balancing, reducing the rate of create new VM, and VM migration, we modeling the problem in terms of effective parameters in performance. Then, we solving this model by using the PROMETHEE method, which is one of the most widely used method for MADM problems. In this method, selecting the best VM occurs based on the value assigned to each of criteria which is calculated based on fuzzy logic. To evaluate the performance of this approach, the necessary simulations have been carried out on CloudSim simulator and shown that the proposed method has better performance compared to FIFO, DLB and WRR methods on average in terms of response time, rate of success tasks, load variation and rate of VM migration.

 
Keyword(s): FUZZY LOGIC, PROMETHEE METHOD, VIRTUAL MACHINE, CLOUD COMPUTING, LOAD BALANCING
 
References: 
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