{"title":"基于移动边缘架构的海上通信协同优化调度","authors":"Tingting Yang, Yue Zhang, Jie Dong","doi":"10.1109/RFID-TA.2018.8552786","DOIUrl":null,"url":null,"abstract":"The rapid development of the land-based edge computing architecture has pushed the horizon of a new processing mode, which transfers the big data processing from the cloud to the edge side. In the contex of mobile edge computing, combined with the idea of collaborative cooperation, we put forward a maritime mobile collaborative edge communication model. A novelty of the model is the addition of a new level of collaborative edge as a small-type processing center between the cloud and the edge sides. For the sake of high efficiency in task scheduling of the collaborative edge part, we adopt an improved Cooperative Co-evolution Algorithm to overcome the constraints of marine environment and communication costs. In order to make the complex matters simplify, this paper adopts the divide-and-conquer strategy and transforms the scheduling optimization problem into the issue of seeking the best individual set of subpopulations. Simulation results verified the performance of the solution.","PeriodicalId":293800,"journal":{"name":"2018 IEEE International Conference on RFID Technology & Application (RFID-TA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Collaborative Optimization Scheduling of Maritime Communication for Mobile Edge Architecture\",\"authors\":\"Tingting Yang, Yue Zhang, Jie Dong\",\"doi\":\"10.1109/RFID-TA.2018.8552786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rapid development of the land-based edge computing architecture has pushed the horizon of a new processing mode, which transfers the big data processing from the cloud to the edge side. In the contex of mobile edge computing, combined with the idea of collaborative cooperation, we put forward a maritime mobile collaborative edge communication model. A novelty of the model is the addition of a new level of collaborative edge as a small-type processing center between the cloud and the edge sides. For the sake of high efficiency in task scheduling of the collaborative edge part, we adopt an improved Cooperative Co-evolution Algorithm to overcome the constraints of marine environment and communication costs. In order to make the complex matters simplify, this paper adopts the divide-and-conquer strategy and transforms the scheduling optimization problem into the issue of seeking the best individual set of subpopulations. Simulation results verified the performance of the solution.\",\"PeriodicalId\":293800,\"journal\":{\"name\":\"2018 IEEE International Conference on RFID Technology & Application (RFID-TA)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on RFID Technology & Application (RFID-TA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RFID-TA.2018.8552786\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on RFID Technology & Application (RFID-TA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RFID-TA.2018.8552786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Collaborative Optimization Scheduling of Maritime Communication for Mobile Edge Architecture
The rapid development of the land-based edge computing architecture has pushed the horizon of a new processing mode, which transfers the big data processing from the cloud to the edge side. In the contex of mobile edge computing, combined with the idea of collaborative cooperation, we put forward a maritime mobile collaborative edge communication model. A novelty of the model is the addition of a new level of collaborative edge as a small-type processing center between the cloud and the edge sides. For the sake of high efficiency in task scheduling of the collaborative edge part, we adopt an improved Cooperative Co-evolution Algorithm to overcome the constraints of marine environment and communication costs. In order to make the complex matters simplify, this paper adopts the divide-and-conquer strategy and transforms the scheduling optimization problem into the issue of seeking the best individual set of subpopulations. Simulation results verified the performance of the solution.