Efficient load balancing techniques for multi-datacenter cloud milieu
| Autor: | Bivasa Ranjan Parida, Sumanta Chandra Mishra Sharma, Amiya Kumar Rath |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Job shop scheduling
Computer Networks and Communications business.industry Computer science Applied Mathematics Distributed computing 020206 networking & telecommunications Cloud computing 02 engineering and technology Dynamic priority scheduling Load balancing (computing) computer.software_genre Computer Science Applications Scheduling (computing) Bandwidth requirement Computational Theory and Mathematics Artificial Intelligence Virtual machine 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering business computer Resource utilization Information Systems |
| Zdroj: | International Journal of Information Technology. 14:979-989 |
| ISSN: | 2511-2112 2511-2104 |
| DOI: | 10.1007/s41870-020-00529-2 |
| Popis: | Load balancing is a challenge in the cloud network for proper resource utilization and improvement of makespan. To overcome the problem of load balancing various static and dynamic scheduling methods come into existence. In this paper, we have proposed two multi-datacenter two-phase load adjustment techniques for load balancing and apposite task scheduling. Our proposed methods allocate user jobs to different virtual machines present in different datacenters based on better makespan. Here we have considered communication delay and bandwidth requirement for inter-datacenter task migration. The simulation result specifies that proposed techniques give a significant improvement in makespan and resource utilization when compared with existing algorithms. |
| Databáze: | OpenAIRE |
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