Abstract
Objective: To design and implement an algorithm for load balancing with convenient utilization of heterogeneous grid resources. Methods: In this paper, we introduce Ant based Dynamic Load Balancing Algorithm (ADLBA), a decentralized dynamic load balancing algorithm using Ant Colony Optimization (ACO), which selects the best resources to be allocated to the tasks considering economic cost, resources' capacity, and local load. Results: We used the Gridsim toolkit to evaluate the efficiency of ADLBA against the Randomized Algorithm (RA) with various number of tasks and resource allocation polices. Our study results show that ADLBA outperforms RA in terms of execution cost and total application execution time (makespan), and they also show that using time-shared allocation policy in the resources leads to better results in both algorithms. Conclusion: We found that ADLBA is suitable for grid users which aim to execute their applications quickly with lower cost.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
