TAILIEUCHUNG - Resource allocation strategy on the basis of particles swarm and intelligent water drops algorithms in cloud computing environment
In this study, our purpose is to distribute interfaces in cloud computing environment in a way that they are useful to optimize resource allocation and to reach the main purpose of this research; that is, to reduce energy consumption. By creating an abstract layer on all physical resources, resources can be managed dynamically by the help of virtualization. Selecting an appropriate and efficient algorithm is required for resource allocation due to dynamic resources and various user requests in cloud technology to increase efficiency. | International Journal of Computer Networks and Communications Security VOL. 3, NO. 7, JULY 2015, 314–321 Available online at: E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) Resource Allocation Strategy on the Basis of Particles Swarm and Intelligent Water Drops Algorithms in Cloud Computing Environment Shokoh Abdoli Hossein Abadi1, 2 and Hamid Haj Seyed Javadi3 1 Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Boroujerd, Iran 2 3 Department of Computer Engineering, Boroujerd Branch, Islamic Azad University, Boroujerd, Iran Department of Applied Mathematics, Faculty of Mathematics and Computer Science, Shahed University, Tehran, Iran E-mail: 1, @, ABSTRACT Cloud computing points to programs and services executed in a distributed network and using virtual resources. As the result of this virtualization, it is felt that the resources are unlimited, but this is not true. In addition, these resources are accessible through common internet protocols and network standards. The purpose of most studies and researches carried out in this regard is to obtain an efficient model of resource allocation in cloud computing environment. In fact, resource allocation is a hierarchical and analytical process, and is a process performed after resource scheduling. Since cloud computing is a commercial field, the price and service quality is the main factor of this field. Our purpose is to dedicate resources to the users of cloud environment in a way that when a resource is available, no user waits for that resource. This dedication is considered with high precision and processing speed. This study is compared with genetic algorithm whose results are investigated and studied, and with our proposed algorithm, particles swarm algorithm that is one of the nature oriented algorithms. In this study, our purpose is to distribute interfaces in cloud computing .
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