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Title: Improving performance of mobile interactive data-streaming applications with multiple cloudlets
Authors: Liu, W
Cao, J 
Qiu, X
Li, J
Issue Date: 2015
Publisher: IEEE Computer Society
Source: Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom, 2015, 7037647, p. 46-53 How to cite?
Abstract: Improving performance of a mobile application by offloading its computation onto a cloudlet has become a prevalent paradigm. Among mobile applications, the category of interactive data-streaming applications is emerging while having not yet received sufficient attention. During computation offloading, the performance of this category of applications (including response time and throughput) depends on network latency and bandwidth between the mobile device and the cloudlet. Although a single cloudlet can provide satisfactory network latency, the bandwidth is always the bottleneck of the throughput. To address this issue, we propose to use multiple cloudlets for computation offloading so as to alleviate the bandwidth bottleneck. In addition, we propose to use multiple module instances to complete a module, enabling more fine-grained computation partitioning, since data processing in many modules of data-streaming applications could be highly parallelized. Specifically, at first we apply a fine-grained data-flow model to characterize mobile interactive data-streaming applications. Then we build a unified optimization framework that achieves maximization of the overall utilities of all mobile users, and design an efficient heuristic for the optimization problem, which is able to make trade-off between throughput and energy consumption at each mobile device. At the end we verify our algorithm with extensive simulation. The results show that the overall utility achieved by our heuristic is close to the precise optimum, and our multiple-cloudlet mechanism significantly outperforms the single-cloudlet mechanism.
Description: 2014 6th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2014, 15-18 December 2014
ISSN: 2330-2194
DOI: 10.1109/CloudCom.2014.122
Appears in Collections:Conference Paper

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