面向大规模边缘计算场景的资源分配问题研究
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Release time:2020-05-16 Project description:边缘计算将小型的服务器部署在网络边缘侧，利用其强大的计算能力，向用户提供高效的数据处理服务。本课题拟围绕大规模边缘计算场景中的性能优化问题展开研究，以压缩系统决策空间为起点，以随机博弈和拍卖理论为工具、设计低复杂度/去中心化的资源分配策略为目标，提出更加高效且具有良好扩展性的资源分配机制。 Supported by:Provincial municipal and regional social science fund projects -
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 Zip Code:49296eeb1c67f065b4380271f3bfc42b094b310de8baf5d65a0ad74abdd875514e794b1c4db2e03ca43c3b4dd4b3422fcf41a26837ec151b5f2a93cad9fef5f59d36b12570b102d951fa191dfa1bf64e1fe22ffcd2e171e8612fddd0f9fbb4200eb1368ed6af0e4c8a0e2b694f10d21b4e528ec085a7d9f3c1d50e799ff4afc8 Postal Address:5c99a2882df91894ff96b07dfb5638a55363b8bfe13304d845c0d4017a1241f8b166fbe29477fb9fb4405c429f4f1fe62703d6c397f9a02262c212262219fffb22f759c392282ed29e09f270c964a5011d6015ea2a62bc708e3b95d0352fe707a82d5fe92646539b76188e438260aac9fa85e02f136c2f3cfcef7336f21b3076 Mobile:0e24a7bfb33a39337acde54d2ab71352511afbd13ce3fdda38f95dea36c30ddc02532a39cef1e0481d8d6bc1c59f25c656e82754b31a1fb72dd3c12bdff7ee49f27ddeb5bff0af7baf79995b9f403fd9a2512b3373cdcf76b6586b0c70b55645e686e1db2cef533f19e1fd242950a6ff74c178097e69dd2570590960d384328e Email:9c70cf17fa91e6b207dc025de52ee982bc21e1227fe713d0b67a140e7228db5a300c05338aeabf9d9f0e32d627c7c82c64d0c813924d1d2582e5ed88e847a966816590633d2e76f437432b856a979bd2d12b720482a7c77ed30cb76f0ae99411ef742e90e9641a41086cab58f4c41989a99711163fb267e1db2e8740767ed92b
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