Hybrid algorithm for resource provisioning of multi-tier cloud computing

Marwah Hashim Eawna, Salma Hamdy Mohammed, El Sayed M. El-Horbaty*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

14 Citations (Scopus)
72 Downloads (Pure)


Cloud computing is a model for delivering information technology services in which resources are retrieved from the internet through web-based tools and applications. The most important challenges are influenced to adopt the cloud computing technology such as security, resources allocation and resources provisioning. The only existing resource provisioning mechanisms in cloud computing using meta-heuristic technique are based on single tier application. In this paper we propose dynamic resources provisioning in multi-tier application by using meta-heuristic technique such as Particle Swarm Optimization (PSO) algorithm, Simulated Annealing (SA) algorithm and hybrid algorithm that combine Particle Swarm Optimization (PSO) and Simulated Annealing (SA). The simulation results show that resource provisioning based on PSO-SA algorithm in multi-tier application is much faster than resource provisioning in multi-tier application based on PSO algorithm and SA algorithm, that is beneficial in the development of cloud computing.

Original languageEnglish
Pages (from-to)682-690
Number of pages9
JournalProcedia Computer Science
Early online date9 Oct 2015
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Communications, Management, and Information Technology, ICCMIT 2015 - Prague, Czech Republic
Duration: 20 Apr 201522 Apr 2015


  • Cloud computing
  • Resource provisioning
  • Particle swarm optimization
  • Simulated annealing


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