Mobile Data and Computation Offloading in Mobile Cloud Computing
Dongqing Liu
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ABSTRACT Recently, there has been a surge of international interest in extraterrestrial exploration targeting the Moon, Mars, the moons of Mars, and various asteroids. This contribution discusses how current state‐of‐the‐art Earth‐based testing for designing rovers and landers for these missions currently leads to overly optimistic conclusions about ...
Wei Hu+6 more
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Multihop cost awareness task migration with networking load balance technology for vehicular edge computing. [PDF]
Lin SY+4 more
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The Utility of a Hyperspectral Infrared Imager for Crewed Exploration of Planetary Bodies
Abstract Planetary analog simulations are a powerful exercise for understanding the utility of deployable instruments, their operational protocols, and the visualization of data products during ExtraVehicular Activities (EVAs). This paper presents results of a field campaign by the NASA Solar System Exploration Research Virtual Institute (SSERVI ...
C. I. Honniball+9 more
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Multi video stream collaborative adaptive offloading scheme based on equilibrium game theory. [PDF]
Yuan S.
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Studying collective animal behaviour with drones and computer vision
Abstract Drones are increasingly popular for collecting behaviour data of group‐living animals, offering inexpensive and minimally disruptive observation methods. Imagery collected by drones can be rapidly analysed using computer vision techniques to extract information, including behaviour classification, habitat analysis and identification of ...
Jenna Kline+9 more
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Multi-user joint task offloading and resource allocation based on mobile edge computing in mining scenarios. [PDF]
Li S+7 more
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DRL-Driven Intelligent SFC Deployment in MEC Workload for Dynamic IoT Networks. [PDF]
Ros S, Ryoo I, Kim S.
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Edge Server Selection with Round-Robin-Based Task Processing in Multiserver Mobile Edge Computing. [PDF]
Aljobory K, Yazici MA.
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Blockchain modeled swarm optimized lyapunov smart contract deep reinforced secure tasks offloading in smart home. [PDF]
Preethi, Ulla MM, R S, Devadas RM.
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