Crash failure immune offloading framework

Sayanti Mondal, C. Chowdhury, Sarbani Roy, Sumanta K. Deb, S. Neogy
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引用次数: 2

Abstract

Offloading or cyber foraging is a technique to overcome resource constraints of mobile devices by migrating heavy computation to remote more resourceful surrogates (such as PDAs, desktop PCs). Many research works have been done so far on the architecture of offloading systems, what to offload (partitioning of offloadable code) and when to offload (based on energy constraint, execution time). However, only a few works can be found on fault detection and tolerance. So this paper concentrates on designing a robust offloading framework that can survive a surrogate crash through the notion of redundancy and rollback recovery. Fault prevention can be achieved by using historical data while selecting suitable surrogate at a familiar neighborhood. We have evaluated this framework using a real application named ‘Π-calculator’ based on resource utilization and energy consumption. The mechanism is implemented using different Tabs and smartphone as offloadee and 3 HP laptops as surrogates. Fault tolerant offloading is found to be efficient in terms of energy consumption and resource utilization.
崩溃失败免疫卸载框架
卸载或网络搜索是一种技术,通过将繁重的计算迁移到远程资源更丰富的替代品(如pda、桌面pc)来克服移动设备的资源限制。到目前为止,关于卸载系统的体系结构、卸载什么(可卸载代码的分区)以及何时卸载(基于能量约束、执行时间)已经做了许多研究工作。然而,在故障检测和容错方面的研究却很少。因此,本文的重点是设计一个健壮的卸载框架,该框架可以通过冗余和回滚恢复的概念在代理崩溃中幸存下来。故障预防可以通过使用历史数据,同时在熟悉的邻域选择合适的代理来实现。我们使用名为“Π-calculator”的真实应用程序根据资源利用和能源消耗对该框架进行了评估。该机制使用不同的tab和智能手机作为卸载设备,并使用3台HP笔记本电脑作为替代品来实现。发现容错卸载在能源消耗和资源利用方面是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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