Saidur Rahman, Apostolos Kalatzis, Mike P. Wittie, A. Elmokashfi, Laura M. Stanley, S. Patterson, David L. Millman
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引用次数: 1
Abstract
Mobile applications can improve battery and application performance by offloading heavy processing tasks to more powerful compute nodes. While Mobile Edge Computing (MEC) provides such nodes in close network proximity, their capacity is limited and may be shared with the Centralized Radio Access Network (C-RAN) in 5G networks. We propose MicroLambda, a framework to partition offloaded computation via dynamic checkpointing to efficiently utilize MEC compute capacity without encroaching on C-RAN operations.
期刊介绍:
Cessation.
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