Load balancing in cloud computing using particle swarm optimization on Xen Server
| Autor: | Bhargesh Patel, Yash Vora, Gopi Bhatt, Akash Dave |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science Distributed computing Particle swarm optimization Response time 020207 software engineering Cloud computing 02 engineering and technology Load balancing (computing) Load management 020204 information systems Server On demand 0202 electrical engineering electronic engineering information engineering business Resource utilization |
| Zdroj: | 2017 Nirma University International Conference on Engineering (NUiCONE). |
| DOI: | 10.1109/nuicone.2017.8325618 |
| Popis: | In cloud there is different set of servers that provide utility to users based on demand. Cloud has many powerful servers to allocate huge request of users. Load balancing is a technique to distribute load on many VMs on Server to achieve Resource utilization, lower Response time and avoid burden. In this paper Particle Swarm Optimizations is presented for Resource Utilization. A PSO has been presented to find the better solution for the problem of Allocation Resources and load balancing in Cloud computing. This work was experimented on Xen Server and result of the Proposed Algorithm was really very encouraging. Significantly the result of PSO is compared with Compare and Balance Algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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