Cooperative offloading of tasks with deadlines in mobile cloud computing

Proceedings of the ACM Turing Celebration Conference - China(2019)

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摘要
Mobile cloud computing (MCC) offers an agile solution that facilitates mobile applications to exploit cloud computing technology. Compared to offloading tasks to a remote cloud through wide area network (WAN), offloading to nearby cloudlets via WLAN links offers much smaller network delay. Resource capacity at cloudlets may become a bottleneck upon peak demands. A remote cloud then constitutes an appropriate back-up despite longer network delay. In this work, we design a cooperative task offloading scheme for tasks with hard deadlines, utilizing both local cloudlets and a remote cloud. By leveraging the compact exponential optimization technique, we design an online algorithm that simultaneously guarantees system efficiency, truthfulness, and social welfare maximization. A moderate parameterized competitive ratio is proven, and simulation studies reveal the algorithm's close-to-offline-optimum performance under practical settings.
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