AN EFFICIENT LOAD SCHEDULING TECHNIQUE USING OPPOSITIONAL SPARROW SEARCH ALGORITHM FOR CLOUD COMPUTING ENVIRONMENT
| Autor: | J. Robert Adaikalaraj, T. Vengattaraman |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Advances in Mathematics: Scientific Journal. 10:423-432 |
| ISSN: | 1857-8438 1857-8365 |
| DOI: | 10.37418/amsj.10.1.42 |
| Popis: | Cloud computing (CC) environment is commonly applied for provisioning effectual services and offers diverse benefits, along with some challenges like load balancing and load scheduling. The load scheduling can be defined as the procedure of assigning and balancing the load like tasks or cloudlets to virtual machines (VMs) in the cloud platform. A main goal of the load scheduling algorithm is to lessen the transfer time and total cost incurred in the system. This paper presents a new oppositional sparrow search algorithm (OSSA) for efficient load scheduling in CC environment. The classical sparrow search algorithm (SSA) is based on the group wisdom, foraging and anti-predation behaviour of sparrows. To improve the convergence speed of SSA, Opposition based learning (OBL) concept is incorporated to it. The proposed OSSA based load scheduler has the ability of scheduling the load effectively in the CC platform. An extensive set of simulations were carried out to ensure the goodness of the OSSA and the results are investigated under several aspects. The experimental results indicated the superior nature of the OSSA over the compared methods on all the applied scenarios. |
| Databáze: | OpenAIRE |
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