In Distributed Mobile Computing paradigm, mobile devices are offer unlimited services over mobile cloud computing. However, the limitation of the mobile devices and mobile cloud lead to several issues and challenges such as inadequate bandwidth, time delay, limited energy, poor quality of services and frequent disconnected network. To deal with these obstacles, we propose strategy dynamic task optimization in mobile cloud with offloading algorithm. In this paper the offloading algorithm we designed a model for coordinated management and optimized utilization of resource in mobile cloud for offloading process. The experimental evaluation are performed through the simulation results proves the feasibility and reliability, which shows its better mobile transactions with effective utilization of energy, resources, bandwidth, reducing the overhead time and improved quality of services for disconnected network between mobile devices and cloud servers.

中文翻译：

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DyTO：使用代理对象模型的移动云计算动态任务卸载策略

在分布式移动计算范式中，移动设备通过移动云计算提供无限服务。然而，移动设备和移动云的局限性导致了一些问题和挑战，例如带宽不足、时延、能量有限、服务质量差和经常断网。为了解决这些障碍，我们提出了使用卸载算法在移动云中进行动态任务优化的策略。在本文中，我们设计了一个模型来协调管理和优化移动云中资源的利用以进行卸载过程。实验评估通过仿真结果证明了其可行性和可靠性，表明其更好的移动交易，有效利用能源、资源、带宽、