Relinquish
发表于 2025-3-23 13:09:04
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Humble
发表于 2025-3-23 16:16:05
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Conspiracy
发表于 2025-3-23 20:38:03
Conclusion,In this chapter, we provide a summary of the book and suggest future research directions.
观点
发表于 2025-3-24 00:21:33
Soziale Identitäten Jugendlichery-deployed and gained more and more attention. Although the development of mobile devices and mobile applications have brought great convenience to people’s production and life, it has also lead to some new issues. Due to the resource limitations of mobile devices, such as limited battery capacity a
APEX
发表于 2025-3-24 02:27:26
Degener Theresia,Mogge-Grotjahn Hildegard rapidly. However, the computing capacity of IoT devices is limited and the devices can not process so much data by themselves, which increases the delay and lead to the decline of service quality. Mobile edge computing is a promising computing paradigm, which deploys servers near IoT devices to pro
巧思
发表于 2025-3-24 09:02:46
,Das europäische Mehrebenensystem,, thus improve users’ service experience. Mobile devices can offload computation-intensive tasks to MEC for computing. MEC can greatly reduce the energy consumption of mobile devices while also extending their battery life. However, task assignment based on MEC becomes more difficult due to the unce
encyclopedia
发表于 2025-3-24 11:53:52
https://doi.org/10.1007/978-3-658-33908-1e offloaded to the edge servers for processing, rather than sending them to the remote cloud servers. As a result, the service latency can be greatly improved and the network congestion can be mitigated. In this chapter, we investigate computation offloading in a dynamic MEC system with multiple coo
heirloom
发表于 2025-3-24 17:26:02
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投票
发表于 2025-3-24 19:02:15
https://doi.org/10.1007/978-3-031-16822-2Mobile Edge Computing; Internet Of Things; computation offloading; task scheduling; energy efficiency; dy
悬挂
发表于 2025-3-25 01:19:43
2366-1186 end-to-end deep reinforcement learning (DRL) approach to select the best edge server for offloading and allocate the optimal computational resource such that the expected long-term utility is maximized. Finally978-3-031-16824-6978-3-031-16822-2Series ISSN 2366-1186 Series E-ISSN 2366-1445