Efficient Resource Utilization in Cloud-Fog Environment Integrated with Smart Grids
| Autor: | Junaid Akram, Arslan Rafi, Zeeshan Najam |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
020203 distributed computing
business.industry Computer science Distributed computing Ant colony optimization algorithms Location awareness Particle swarm optimization 020206 networking & telecommunications Cloud computing 02 engineering and technology Energy consumption Load balancing (computing) computer.software_genre Smart grid Virtual machine 0202 electrical engineering electronic engineering information engineering business computer ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | FIT |
| DOI: | 10.1109/fit.2018.00040 |
| Popis: | The cloud and fog computing integration with Smart Grid (SG) improve the efficiency of SG. SG is a modern electricity network that improves performance, reliability, stability and energy consumption. The SG integration with cloud computing improves allocation of resources. Another concept, fog computing is introduced to reduce the load on cloud and improve the allocation of resources. The fog provides the same services as the cloud. However, fog is closest to the end users that improve response time and resource utilization. Fog cover small area than cloud and store data temporarily for permanent storage fog communicate with the cloud. The main features of fog are mobility, low latency and location awareness. In this paper, we presented cloud and fog based framework for information management. Fog computing makes the system efficient by using load balancing algorithm to allocate Virtual Machines (VMs). The load balancing algorithms evaluated in this paper are Round Robin, Throttled, Active Virtual Machine, Particle Swarm Optimization, Ant Colony Optimization and odds algorithm. Particle Swarm Optimization outperform other algorithms. |
| Databáze: | OpenAIRE |
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