Cloud Computing is an emerging trend in the outsourced information technology (OIT) and provides a lot of functions as services. However, it suffers from many challenges such as resource provisioning, integrity, federation, and security. This paper focuses on the major problem, resource provisioning, that explored by many companies and researchers as a critical problem. Such researches are attempted to find method that minimizes provisioning time and reduces the number of resources in the cloud environment. Consequently, this paper proposes a dynamic resources provisioning algorithm by using Artificial Bees Colony (ABC) and Ant Colony Optimization (ACO) and focus on time optimization in multi-tier clouds. Accordingly, the obtained results show that the ACO faster than other meta-heuristic algorithm such as ABC, Particle Swarm Optimization (PSO), Simulated Annealing (SA) and hybrid Particle Swarm Optimization-Simulated Annealing (PSO-SA).
|Title of host publication||2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)|
|Number of pages||7|
|Publication status||Published - 2015|
|Event||IEEE Seventh International Conference on Intelligent Computing and Information Systems : ICICS - Cairo, Egypt|
Duration: 12 Dec 2015 → 14 Dec 2015
|Conference||IEEE Seventh International Conference on Intelligent Computing and Information Systems|
|Period||12/12/15 → 14/12/15|