Christopher Scherb, Samuel Emde, Claudio Marxer, C. Tschudin
{"title":"基于ICN的移动边缘计算数据上传","authors":"Christopher Scherb, Samuel Emde, Claudio Marxer, C. Tschudin","doi":"10.1109/GCWkshps45667.2019.9024397","DOIUrl":null,"url":null,"abstract":"Limited energy capacity and computation power is a common characteristic of mobile but connected devices. Edge computing, i.e. outsourcing computation task to close-by stationary service providers, is a widespread approach to still deploy computation-intensive applications on such devices. However, if moving at high speed (like for instance vehicles or trains), the contact time with network access points are very short (in the range of 3-5sec). Based on this fact, we identify the two challenging situations which are expected to happen very frequently and therefore should be considered when designing the communication system's architecture: (a) A client is connected via different network access points when scheduling a computation and when the result is ready for delivery. (b) A client's network access point changes (potentially several times) while uploading computation arguments or downloading computation results. In this paper, we pursue an information-centric and named-function networking approach to tackle these challenges.","PeriodicalId":210825,"journal":{"name":"2019 IEEE Globecom Workshops (GC Wkshps)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Data Upload in Mobile Edge Computing over ICN\",\"authors\":\"Christopher Scherb, Samuel Emde, Claudio Marxer, C. Tschudin\",\"doi\":\"10.1109/GCWkshps45667.2019.9024397\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Limited energy capacity and computation power is a common characteristic of mobile but connected devices. Edge computing, i.e. outsourcing computation task to close-by stationary service providers, is a widespread approach to still deploy computation-intensive applications on such devices. However, if moving at high speed (like for instance vehicles or trains), the contact time with network access points are very short (in the range of 3-5sec). Based on this fact, we identify the two challenging situations which are expected to happen very frequently and therefore should be considered when designing the communication system's architecture: (a) A client is connected via different network access points when scheduling a computation and when the result is ready for delivery. (b) A client's network access point changes (potentially several times) while uploading computation arguments or downloading computation results. In this paper, we pursue an information-centric and named-function networking approach to tackle these challenges.\",\"PeriodicalId\":210825,\"journal\":{\"name\":\"2019 IEEE Globecom Workshops (GC Wkshps)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Globecom Workshops (GC Wkshps)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCWkshps45667.2019.9024397\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Globecom Workshops (GC Wkshps)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCWkshps45667.2019.9024397","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Limited energy capacity and computation power is a common characteristic of mobile but connected devices. Edge computing, i.e. outsourcing computation task to close-by stationary service providers, is a widespread approach to still deploy computation-intensive applications on such devices. However, if moving at high speed (like for instance vehicles or trains), the contact time with network access points are very short (in the range of 3-5sec). Based on this fact, we identify the two challenging situations which are expected to happen very frequently and therefore should be considered when designing the communication system's architecture: (a) A client is connected via different network access points when scheduling a computation and when the result is ready for delivery. (b) A client's network access point changes (potentially several times) while uploading computation arguments or downloading computation results. In this paper, we pursue an information-centric and named-function networking approach to tackle these challenges.