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A novel load balancing technique for cloud computing platform based on PSO
- Source :
- Journal of King Saud University - Computer and Information Sciences. 34:3988-3995
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- In cloud computing environment tasks are allocated among virtual machines (VMs) having different length, starting time and execution time. Therefore, balancing these loads among VM is a key factor. Load balancing has to be carried out in such a manner that all VMs should have balanced to achieve optimal utilization of its capabilities and improve the system performance. In this paper, we proposed a load balancing technique by using modified PSO task scheduling (LBMPSO) to schedule tasks over the available cloud resources that minimizes the makespan and maximizes resource utilization. This is achieved by having proper information among the tasks and resources within the datacenter. Our proposed scheduling algorithm is implemented by using CloudSim simulator. Simulation results clearly shows that proposed scheduling algorithm performs better in reducing makespan and increases the resource utilization than other existing techniques.
- Subjects :
- Cloud resources
General Computer Science
Job shop scheduling
Computer science
business.industry
Distributed computing
020206 networking & telecommunications
Cloud computing
02 engineering and technology
Load balancing (computing)
computer.software_genre
Scheduling (computing)
Cloudsim simulator
Virtual machine
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
business
computer
Resource utilization
Subjects
Details
- ISSN :
- 13191578
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Journal of King Saud University - Computer and Information Sciences
- Accession number :
- edsair.doi...........4eb3e90165c8c6b2573b62b03920d849