A performed load balancing algorithm for public Cloud computing using ant colony optimization
| Autor: | Awatif Ragmani, Khalid Moussaid, Amina El Omri, Mohammed Rida, Noreddine Abghour |
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| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
General Computer Science Computer science business.industry Distributed computing Ant colony optimization algorithms Response time CPU time 020206 networking & telecommunications 020207 software engineering Cloud computing 02 engineering and technology Load balancing (computing) Scheduling (computing) 020901 industrial engineering & automation Software Network Load Balancing Services Utility computing Cloud testing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Economic model Architecture business Algorithm |
| Zdroj: | 2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech). |
| DOI: | 10.1109/cloudtech.2016.7847703 |
| Popis: | In the space of a few years, Cloud computing has experienced remarkable growth. Indeed, its economic model based on demand of hardware and software according to technical criteria (CPU utilization, memory, bandwidth…) or package has strongly contributed to the liberalization of computing resources in the world. However, the development of Cloud computing requires the optimization of performance of the different services offered by Cloud providers in order to ensure a high level of security, availability and responsiveness. One major aspect for dealing with performance issues in Cloud computing is the load balancing. In fact, an efficient load balancing contributes to the decrease of costs and maximizes availability of resources. Through this paper, we study various research which has treated the load balancing in the Cloud computing. In a second step, we propose an improved load balancing architecture and algorithm for Cloud computing which aims to allow a better response time. |
| Databáze: | OpenAIRE |
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