دانلود رایگان مقاله انگلیسی رویکرد توزیع شده مدیریت منابع جامع یک شبکه ابر موبایل - IEEE 2017

Abstract

The Mobile Cloud Network is an emerging cost and capacity heterogeneous distributed cloud topological paradigm that aims to remedy the application performance constraints imposed by centralised cloud infrastructures. A centralised cloud infrastructure and the adjoining Telecom network will struggle to accommodate the exploding amount of traffic generated by forthcoming highly interactive applications. Cost effectively managing a Mobile Cloud Network computing infrastructure while meeting individual application’s performance goals is nontrivial and is at the core of our contribution. Due to the scale of a Mobile Cloud Network, a centralised approach is infeasible. Therefore, in this paper a distributed algorithm that addresses these challenges is presented. The presented approach works towards meeting individual application’s performance objectives, constricting system-wide operational cost, and mitigating resource usage skewness. The presented distributed algorithm does so by iteratively and independently acting on the objectives of each component with a common heuristic objective function. Systematic evaluations reveal that the presented algorithm quickly converges and performs near optimal in terms of system-wide operational cost and application performance, and significantly outperforms similar na¨ıve and random methods.

VI. CONCLUSIONS

This paper presents a distributed algorithm to holistically manage a large set of heterogeneous DCs and applications with different objectives. The main challenge has been to reach a steady system state and while accommodating a set of entities with heterogeneous objectives hosted in a cost- and capacity-heterogeneous network. The distributed algorithm was evaluated over two different types of topologies with varying degrees of heterogeneity and compared to both a centralised optimal solution, and two na¨ıve methods. The results reveal that the distributed algorithm presented in this paper can quickly and consistently converge despite a high degree of heterogeneity in the system. The evaluations also reveal some of the properties in a heterogeneous topology that can be used to extend this work.

A possible investigative extension of this work is a thorough investigation of the distributed algorithm’s convergence performance under a transient workload and resources with timevariant capacity and cost. Possible extensions to the algorithm include elastic horizontal scaling of applications and multi component applications.