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Mobile edge computing has emerged to address the long latency, low throughput,
and unpredictability of cloud computing for serving modern mobile applications.
Nevertheless, the lack of end-to-end performance guarantee in the form of
service-level agreements (SLAs) can lead to performance degradation of critical
applications during unexpected system dynamics, rendering these applications
incompetent or unsafe to use. This project seeks to develop mathematical and
systematic tools for edge providers to quantify and control, the risk associated
with providing end-to-end SLAs for mobile applications. By designing multi-dimensional
resource planning and orchestration algorithms that bound or minimize the risk
associated with edge SLAs, this project aims to enable and enhance life-changing
edge applications such as autonomous driving and mobile vision, promote investment
and expedite development in mobile edge computing, and broaden awareness of risk
management from a system perspective.
This project is supported by NSF Award #2007469.
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