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New trends of resource provisioning in multi-tier Cloud computing

机译:多层云计算中资源供应的新趋势

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摘要

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).
机译:云计算是外包信息技术(OIT)的新兴趋势,并提供了很多功能即服务。但是,它面临许多挑战,例如资源供应,完整性,联合身份验证和安全性。本文关注的是主要问题,资源配置,许多公司和研究人员都将其视为一个关键问题。试图进行这样的研究以找到最小化供应时间并减少云环境中的资源数量的方法。因此,本文提出了一种利用人工蜂群(ABC)和蚁群优化(ACO)的动态资源供应算法,并着重于多层云中的时间优化。因此,获得的结果表明,ACO比其他元启发式算法(例如ABC,粒子群优化(PSO),模拟退火(SA)和混合粒子群优化模拟退火(PSO-SA))更快。

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