Load balancing in cloud computing using optimization techniques: A study
| Autor: | Akash Dave, Bhargesh Patel, Gopi Bhatt |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
020203 distributed computing
Optimization problem business.industry Computer science Distributed computing Evolutionary algorithm Cloud computing Fault tolerance 02 engineering and technology Load balancing (computing) Network Load Balancing Services Server Cloud testing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business |
| Zdroj: | 2016 International Conference on Communication and Electronics Systems (ICCES). |
| DOI: | 10.1109/cesys.2016.7889883 |
| Popis: | Nowadays, cloud computing is emerging field in information technology, next generation of computing. It provides very extensive measure of computing and storage Service gave to users through the internet which follows pay-as-you-go model. Major problems faced in the cloud are resource discovery, fault tolerance, load balancing and security. Load balancing is one of the main challenges, important technique, critical issue and play an important role which is required to distribute workload or task equally across the nodes or servers. This paper provides a detailed summary of the load balancing optimization techniques of evolutionary and swarm based algorithms which will help to overcome the optimization problems or resource utilization. |
| Databáze: | OpenAIRE |
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