{"title":"基于车辆边缘计算和通信的动态资源分配","authors":"Senyu Yu, Yan Guo, Ning Li, Duan Xue, Cuntao Liu","doi":"10.1145/3571662.3571696","DOIUrl":null,"url":null,"abstract":"The improvement of modern communication technology has made the Internet of Vehicles (IoV) advance by leaps and bounds, and promotes the progress of many technologies, such as mobile sensing, vehicular edge computing, sensor networks, satellite positioning, data analysis, etc. Vehicular edge computing (VEC) is an innovative computing paradigm which can provide flexible and reliable computation services for intelligent and connected vehicles. An optimized problem is formulated to minimize the total task offloading time delay by making a tradeoff between vehicle mobility and task nature. To tackle the optimization problem, we proposed the Delay-sensitive half-Determined atomic Search algorithm, called DeshDaS, in which we regard each intelligent vehicle as an atom and strategy as electron and consider electron transition process. Experimental results validate the effectiveness and superior of our algorithm compared with several existed offloading strategy, and the larger average amount of data waiting to be processed, the more significant our advantage is.","PeriodicalId":235407,"journal":{"name":"Proceedings of the 8th International Conference on Communication and Information Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic resource allocation on Vehicular edge computing and communication\",\"authors\":\"Senyu Yu, Yan Guo, Ning Li, Duan Xue, Cuntao Liu\",\"doi\":\"10.1145/3571662.3571696\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The improvement of modern communication technology has made the Internet of Vehicles (IoV) advance by leaps and bounds, and promotes the progress of many technologies, such as mobile sensing, vehicular edge computing, sensor networks, satellite positioning, data analysis, etc. Vehicular edge computing (VEC) is an innovative computing paradigm which can provide flexible and reliable computation services for intelligent and connected vehicles. An optimized problem is formulated to minimize the total task offloading time delay by making a tradeoff between vehicle mobility and task nature. To tackle the optimization problem, we proposed the Delay-sensitive half-Determined atomic Search algorithm, called DeshDaS, in which we regard each intelligent vehicle as an atom and strategy as electron and consider electron transition process. Experimental results validate the effectiveness and superior of our algorithm compared with several existed offloading strategy, and the larger average amount of data waiting to be processed, the more significant our advantage is.\",\"PeriodicalId\":235407,\"journal\":{\"name\":\"Proceedings of the 8th International Conference on Communication and Information Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 8th International Conference on Communication and Information Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3571662.3571696\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 8th International Conference on Communication and Information Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3571662.3571696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic resource allocation on Vehicular edge computing and communication
The improvement of modern communication technology has made the Internet of Vehicles (IoV) advance by leaps and bounds, and promotes the progress of many technologies, such as mobile sensing, vehicular edge computing, sensor networks, satellite positioning, data analysis, etc. Vehicular edge computing (VEC) is an innovative computing paradigm which can provide flexible and reliable computation services for intelligent and connected vehicles. An optimized problem is formulated to minimize the total task offloading time delay by making a tradeoff between vehicle mobility and task nature. To tackle the optimization problem, we proposed the Delay-sensitive half-Determined atomic Search algorithm, called DeshDaS, in which we regard each intelligent vehicle as an atom and strategy as electron and consider electron transition process. Experimental results validate the effectiveness and superior of our algorithm compared with several existed offloading strategy, and the larger average amount of data waiting to be processed, the more significant our advantage is.