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Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 19th EAI Internation Honghao Gao,Xinheng Wang,Nikolaos Voros Conference

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樓主: misperceive
41#
發(fā)表于 2025-3-28 17:14:23 | 只看該作者
42#
發(fā)表于 2025-3-28 18:45:40 | 只看該作者
43#
發(fā)表于 2025-3-29 00:40:43 | 只看該作者
44#
發(fā)表于 2025-3-29 04:05:48 | 只看該作者
DQN-Based Applications Offloading with?Multiple Interdependent Tasks in?Mobile Edge Computinglong-term cost constraint, and simulation results clearly show that, comparing with the traditional approach, our proposed method effectively reduces the cost consumption by 92.8% while sacrificing only some latency.
45#
發(fā)表于 2025-3-29 07:57:28 | 只看該作者
Edge Server Deployment Approach Based on?Uniformity and?Centrality number of edge servers according to regional importance. Finally, the improved greedy algorithm is utilized to generate a deployment plan for edge servers. Experiments show that ESDA-UC has higher base station coverage, vehicle coverage, and vehicle coverage time ratios compared to the baseline met
46#
發(fā)表于 2025-3-29 13:00:17 | 只看該作者
47#
發(fā)表于 2025-3-29 17:55:51 | 只看該作者
A Dichotomous Repair-Based Load-Balanced Task Allocation Strategy in?Cloud-Edge Environmentloaded nodes are repaired by the subsequent two-stage repair policy to maintain the load balance. Finally, through extensive experiments, we evaluate the proposed method and the results show that it outperforms other algorithms in terms of workload balancing.
48#
發(fā)表于 2025-3-29 22:35:53 | 只看該作者
49#
發(fā)表于 2025-3-30 03:05:39 | 只看該作者
Efficient and?Revocable Anonymous Account Guarantee System Based on?Blockchainthe storage overhead of certificates. Furthermore, the system utilizes cryptographic accumulators to enable fast revocation of accounts, preventing malicious users from engaging in further malicious behavior. Moreover, in this system, the certificate authority (CA) can enhance the system’s ability t
50#
發(fā)表于 2025-3-30 06:16:14 | 只看該作者
Computing Resource Allocation for?Hybrid Applications of?Blockchain and?Mobile Edge Computingal performance of blockchain-based MEC. In this paper, we study the problem of user offloading decision and the computing resource allocation of edge servers for MEC and blockchain tasks, with the objective to minimize the total processing delay of MEC and blockchain tasks. We propose an algorithm f
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