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Adaptive and intelligent customized deep Q-network for energy-efficient task offloading in mobile edge computing environments. [PDF]
Sci RepAnand J, Karthikeyan B.
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Adaptive Reinforcement Learning-Based Framework for Energy-Efficient Task Offloading in a Fog-Cloud Environment. [PDF]
Sensors (Basel)Mikavica B, Kostic-Ljubisavljevic A.
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Computation Offloading Toward Edge Computing
Proceedings of the IEEE, 2019We are living in a world where massive end devices perform computing everywhere and everyday. However, these devices are constrained by the battery and computational resources. With the increasing number of intelligent applications (e.g., augmented reality and face recognition) that require much more computational power, they shift to perform ...
Li Lin, Xiaofei Liao, Hai Jin, Peng Li
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FlopCoin: A Cryptocurrency for Computation Offloading
IEEE Transactions on Mobile Computing, 2018During the last years, researchers have proposed solutions to help smartphones improve execution time and reduce energy consumption by offloading heavy tasks to remote entities. Lately, inspired by the promising results of message forwarding in opportunistic networks, many researchers have proposed strategies for task offloading towards nearby mobile ...
Chatzopoulos, Dimitris +3 more
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Automated selection of offloadable tasks for mobile computation offloading in edge computing
2017 13th International Conference on Network and Service Management (CNSM), 2017Mobile computation offloading has recently attracted much interest and first offloading solutions have been developed. However, the relevant technical challenge of how to automatically determine offloadable sections of Android applications has not been adequately investigated so far.
Zanni, Alessandro +4 more
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User-Centric Computation Offloading for Edge Computing
IEEE Internet of Things Journal, 2021The number of smart devices newly connected to the Internet has grown exponentially in recent years. These smart devices are interwoven into huge Internet of Things. There is a contradiction between mass data transmission and communication bandwidth, the distance between supercomputing power and processing object, and the demand of frequent interaction
Xiaoheng Deng +4 more
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Multiple access computational offloading
2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016Mobile cloud computing provides shared computational resources to which mobile devices can offload computational tasks in order to reduce energy consumption or reduce the latency of the task execution. The decision of whether or not to offload a task can be formulated as a joint optimization problem over the available computational and radio resources.
Mahsa Salmani, Timothy N. Davidson
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NearBy-Offload: An Android based Application for Computation Offloading
2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS), 2020Computation offloading in fog computing not only addresses the computation-intensive and delay-sensitive needs of IoT applications but also improves the network lifetime of the IoT-Fog paradigm. As fog node suits as a place for availing offloading services, it introduces another challenge, i.e., selection of most suitable fog node among available ...
Ashutosh Kumar +2 more
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