Social-aware hybrid mobile offloading

移动云计算 移动边缘计算 移动计算 移动社交网络 分布式计算 蜂窝网络 计算卸载
作者
Huber Flores,Rajesh Sharma,Denzil Ferreira,Vassilis Kostakos,Jukka Manner,Sasu Tarkoma,Pan Hui,Yong Li
出处
期刊:Pervasive and Mobile Computing [Elsevier]
卷期号:36: 25-43 被引量:33
标识
DOI:10.1016/j.pmcj.2016.09.014
摘要

Mobile offloading is a promising technique to aid the constrained resources of a mobile device. By offloading a computational task, a device can save energy and increase the performance of the mobile applications. Unfortunately, in existing offloading systems, the opportunistic moments to offload a task are often sporadic and short-lived. We overcome this problem by proposing a social-aware hybrid offloading system (HyMobi), which increases the spectrum of offloading opportunities. As a mobile device is always co-located to at least one source of network infrastructure throughout of the day, by merging cloudlet, device-to-device and remote cloud offloading, we increase the availability of offloading support. Integrating these systems is not trivial. In order to keep such coupling, a strong social catalyst is required to foster users participation and collaboration. Thus, we equip our system with an incentive mechanism based on credit and reputation, which exploits users social aspects to create offload communities. We evaluate our system under controlled and in-the-wild scenarios. With credit, it is possible for a device to create opportunistic moments based on users present need. As a result, we extended the widely used opportunistic model with a long-term perspective that significantly improves the offloading process and encourages unsupervised offloading adoption in the wild.
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