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@article{180121,
        author = {Priya M M.E and Arunachalam K and Kirubakaran S and Ramalingam M and Yuvaraja K},
        title = {Efficient Dynamic Heuristic Earliest Finnish Scheduling Algorithm for Load balancing in cloud computing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {309-315},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180121},
        abstract = {Cloud computing, serving as the dominant 
paradigm for large-scale infrastructure provisioning, 
presents significant challenges in service and task 
allocation. Cloud computing is the largest constraints 
service providing environment for large scale 
infrastructure.  
Many more request on service 
allocation and task allocating is complex because of 
improper scheduling leads poor computing and non
balanced cost efficiency. The inherent complexity of 
managing numerous simultaneous requests frequently 
results in inefficient scheduling, To resolve this problem, 
Dynamic Heuristic Earliest Finish scheduling algorithm 
(DHEFSA) is applied for balance the load to improve 
the computing resource. Initially the task computing 
time is based on Absolute Mean time (AMT) is 
estimated and rank eth priority task. Next to priority. 
Next to crate the Minmax priority pattern (MMPP) 
based on the time task to complete time to allocate the 
task finally the Dynamic Heuristic Earliest Finish 
scheduling algorithm (DHEFSA) allocates the workload 
to migrate the resource response and complete the 
workload efficiently. This approach is anticipated to 
yield superior computational performance, improved 
scheduling accuracy, and a more balanced workload 
distribution when compared to existing scheduling 
methodologies. The proposed system produces higher 
performance in computing to improves scheduling 
accuracy to balance the workload compared to the 
existing system.},
        keywords = {Cloud Computing, Resource Allocation,  Task Scheduling, Heuristic Algorithm, Load Balancing,  Dynamic Scheduling, AMT, DHEFSA.},
        month = {May},
        }