Akinola, Damola Gideon and Adetiba, E. and Abayomi, Abdultaofeek and Nnaji, Uche Josiah and Thakur, Surendra and Moyo, Sibusiso (2024) Intra-Datacenter Load Balancing in a Federated Cloud with Throttled Algorithm. In: International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, 02-04 April 2024, Omu-Aran, Nigeria.
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Abstract
The emergence of cloud computing technology has motivated a very high number of users in different organizations to access its services in running and delivering their various operations and services. However, this surge of cloud users has led to the problem of uneven load sharing among the cloud computing infrastructures. As a result, federated cloud infrastructure was initiated to provide more cloud computing resources to accommodate more cloud users’ requests and also to provide equal requests mapping with the available cloud resources. Nevertheless, the issue of unequal allocation of requests within the datacenter(s) that makes up the federated cloud environment still persists. This research work presents an intra-datacenter load balancing algorithm in a federated cloud environment named; the intra-balancer adapted throttled algorithm to evenly distribute requests in each datacenter that formulate the federated cloud infrastructures. The simulation of the intra-balancer was carried out in CloudAnalyst, the results of the implementation showed that the intra-balancer outperformed the Round-Robin and ESCE with 98.93ms and 2.26ms for the response and processing time respectively. The results assert that the intra-balancer algorithm provides a better load balancing solution in a federated cloud environment.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Patricia Nwokealisi |
| Date Deposited: | 05 Nov 2024 16:02 |
| Last Modified: | 05 Nov 2024 16:02 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/18564 |
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