Абстрактный

A PSO-based resource scheduling strategy for load balancing in cloud computing

Hongwei Zhao


Cloud computing needs tomanage a large number of computing resources, while resources scheduling strategy plays a key role in determining the efficiency of cloud computing. It is an important issue how to allocate computing resources reasonably and schedule tasks run effectively which can reduce the complete time and cost of all tasks.this paper built a optimization model for Resources Scheduling of cloud computing system and proposed an improved particle swarm optimization algorithm for the builtmodel. Finally, the result of the experiment indicates that the scheduling systemcan improve the efficiency of dispatching resource and the utilization ratio in the Cloud Computing system.


Индексировано в

  • КАСС
  • Google Scholar
  • Открыть J-ворота
  • Национальная инфраструктура знаний Китая (CNKI)
  • CiteFactor
  • Космос ЕСЛИ
  • Каталог индексирования исследовательских журналов (DRJI)
  • Секретные лаборатории поисковых систем
  • Импакт-фактор научной статьи (SAJI))
  • ICMJE

Посмотреть больше

Индекс Хирша журнала

Flyer