{"title":"海报:边缘云增强——在移动边缘网络中支持云应用的延迟感知虚拟集群布局","authors":"Xuan Liu, B. Cheng, Mei Wang, Junliang Chen","doi":"10.1145/3300061.3343388","DOIUrl":null,"url":null,"abstract":"Mobile edge networks benefit cloud applications in particularly providing a shorter response latency for mobile terminals. However, the cumulative increase of mobile terminals and emerging cloud applications, poses new challenges for edge networks. To combat this issue, the promising idea of mobile micro-clouds (MMCs) is proposed to enhance edges and the cloud. In this paper, we investigate the problem of virtual cluster (VC) placement in MMCs, to minimize the average response latency with various requests among multiple cloud applications. Then a hybrid swarm intelligence approach is proposed to optimize VC placement scheme, for a trade-off between the average response latency and the overall VC placement cost. The preliminary evaluation results show the effectiveness and efficiency of our approach.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Poster: Edge-cloud Enhancement -- Latency-aware Virtual Cluster Placement for Supporting Cloud Applications in Mobile Edge Networks\",\"authors\":\"Xuan Liu, B. Cheng, Mei Wang, Junliang Chen\",\"doi\":\"10.1145/3300061.3343388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile edge networks benefit cloud applications in particularly providing a shorter response latency for mobile terminals. However, the cumulative increase of mobile terminals and emerging cloud applications, poses new challenges for edge networks. To combat this issue, the promising idea of mobile micro-clouds (MMCs) is proposed to enhance edges and the cloud. In this paper, we investigate the problem of virtual cluster (VC) placement in MMCs, to minimize the average response latency with various requests among multiple cloud applications. Then a hybrid swarm intelligence approach is proposed to optimize VC placement scheme, for a trade-off between the average response latency and the overall VC placement cost. The preliminary evaluation results show the effectiveness and efficiency of our approach.\",\"PeriodicalId\":223523,\"journal\":{\"name\":\"The 25th Annual International Conference on Mobile Computing and Networking\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The 25th Annual International Conference on Mobile Computing and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3300061.3343388\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 25th Annual International Conference on Mobile Computing and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3300061.3343388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Poster: Edge-cloud Enhancement -- Latency-aware Virtual Cluster Placement for Supporting Cloud Applications in Mobile Edge Networks
Mobile edge networks benefit cloud applications in particularly providing a shorter response latency for mobile terminals. However, the cumulative increase of mobile terminals and emerging cloud applications, poses new challenges for edge networks. To combat this issue, the promising idea of mobile micro-clouds (MMCs) is proposed to enhance edges and the cloud. In this paper, we investigate the problem of virtual cluster (VC) placement in MMCs, to minimize the average response latency with various requests among multiple cloud applications. Then a hybrid swarm intelligence approach is proposed to optimize VC placement scheme, for a trade-off between the average response latency and the overall VC placement cost. The preliminary evaluation results show the effectiveness and efficiency of our approach.