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Extending the Capabilities of Mobile Devices for Online Social Applications through Cloud Offloading

机译:通过云卸载扩展用于在线社交应用程序的移动设备的功能

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Handheld devices are becoming an attractive option for users to interact with their social network, through online social applications. We are witnessing a rapid adoption of smarter devices all around us, which brings with it orders of magnitude in heterogeneity. Thus, researchers in the field of distributed systems are faced with new challenges: How to optimize performance for devices that are so diverse in terms of energy consumption, processing power and communication capabilities? My PhD research focuses on this challenge, adopting techniques for offloading operations from mobile to more powerful cloud-based infrastructure, and brings a three-fold contribution. First, we have characterized and modeled workloads of online social applications, and empirically validated them using traces of hundreds of real applications. Second, we are currently investigating offloading mechanisms, including: communication offloading, lossy performance offloading, and loss less performance offloading. We have been testing and evaluating these mechanisms with several mobile applications, measuring performance and energy consumption. Third, we will create an integrated cloud based offloading system that aims to improve the performance of online social applications. We will empirically evaluate this system using both simulations and open-source real-world applications.
机译:手持设备正成为用户通过在线社交应用程序与其社交网络进行交互的一种有吸引力的选择。我们目睹了我们周围所有智能设备的迅速采用,这带来了数量级的异构性。因此,分布式系统领域的研究人员面临着新的挑战:如何优化在能耗,处理能力和通信能力方面如此多样化的设备的性能?我的博士研究专注于这一挑战,采用了将操作从移动设备转移到功能更强大的基于云的基础架构的技术,并做出了三方面的贡献。首先,我们对在线社交应用程序的工作负载进行了特征化和建模,并使用数百个真实应用程序的痕迹对它们进行了经验验证。其次,我们目前正在研究卸载机制,包括:通信卸载,有损性能卸载和损耗少的性能卸载。我们一直在通过几种移动应用程序测试和评估这些机制,以测量性能和能耗。第三,我们将创建一个基于云的集成卸载系统,旨在提高在线社交应用程序的性能。我们将使用仿真和开放源代码的真实世界应用程序对此系统进行经验评估。

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