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Resource allocation in multi-hop Mobile Ad hoc cloud

机译:多跳移动自组织云中的资源分配

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Cloud computing enables users to conveniently share computing resources at anytime and from anywhere. With the increasing usage of mobile devices, MANETs have gained more interest. The various cloud computing frameworks for wired networks, wireless networks, cellular networks or pico nets cannot be mapped as such in Ad hoc networks as they have additional constraints of multi-hop communication, limited bandwidth, limited battery and mobility. In this paper, we explore the feasibility of a “Multi-hop Mobile Ad hoc cloud (MMADC) computing framework” to harness the full potential of local resources in the network such as processing capabilities, memory space, battery life, etc. We outline the major implementation challenges and propose an approach to tackle them. A prototype is developed to enable the quantitative analysis. Simulation is conducted and a relative comparison is provided based on the throughput and overheads in the network. The proposed framework shows better performance for different workloads, network sizes & network densities.
机译:云计算使用户可以随时随地方便地共享计算资源。随着移动设备使用的增加,MANET越来越引起人们的兴趣。在Ad hoc网络中无法映射用于有线网络,无线网络,蜂窝网络或微微网的各种云计算框架,因为它们具有多跳通信,有限的带宽,有限的电池和移动性的其他约束。在本文中,我们探索了“多跳移动自组织云(MMADC)计算框架”的可行性,以利用网络中本地资源的全部潜力,例如处理能力,内存空间,电池寿命等。主要的实施挑战,并提出解决方案。开发了原型以进行定量分析。根据网络中的吞吐量和开销进行仿真并提供相对比较。所提出的框架针对不同的工作负载,网络规模和网络密度显示出更好的性能。

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