Joaquim Silva, Daniel Silva, Eduardo R. B. Marques, Luís M. B. Lopes, Fernando M A Silva
{"title":"P3-Mobile:移动边缘云的并行计算","authors":"Joaquim Silva, Daniel Silva, Eduardo R. B. Marques, Luís M. B. Lopes, Fernando M A Silva","doi":"10.1145/3069383.3069388","DOIUrl":null,"url":null,"abstract":"We address the problem of whether networks of mobile devices such as smartphones or tablets can be used to perform opportunistic, best-effort, parallel computations. We designed and implemented P3-Mobile, a parallel programming system for edge-clouds of Android devices to test the feasibility of this idea. P3-Mobile comes with a programming model that supports parallel computations over peer-to-peer overlays mapped onto mobile networks. The system performs automatic load-balancing by using the overlay to discover work. We present preliminary performance results for a parallel benchmark, using up to 16 devices, and discuss their implications towards future work.","PeriodicalId":445825,"journal":{"name":"Proceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms","volume":"17 7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"P3-Mobile: Parallel Computing for Mobile Edge-Clouds\",\"authors\":\"Joaquim Silva, Daniel Silva, Eduardo R. B. Marques, Luís M. B. Lopes, Fernando M A Silva\",\"doi\":\"10.1145/3069383.3069388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We address the problem of whether networks of mobile devices such as smartphones or tablets can be used to perform opportunistic, best-effort, parallel computations. We designed and implemented P3-Mobile, a parallel programming system for edge-clouds of Android devices to test the feasibility of this idea. P3-Mobile comes with a programming model that supports parallel computations over peer-to-peer overlays mapped onto mobile networks. The system performs automatic load-balancing by using the overlay to discover work. We present preliminary performance results for a parallel benchmark, using up to 16 devices, and discuss their implications towards future work.\",\"PeriodicalId\":445825,\"journal\":{\"name\":\"Proceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms\",\"volume\":\"17 7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3069383.3069388\",\"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 4th Workshop on CrossCloud Infrastructures & Platforms","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3069383.3069388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
P3-Mobile: Parallel Computing for Mobile Edge-Clouds
We address the problem of whether networks of mobile devices such as smartphones or tablets can be used to perform opportunistic, best-effort, parallel computations. We designed and implemented P3-Mobile, a parallel programming system for edge-clouds of Android devices to test the feasibility of this idea. P3-Mobile comes with a programming model that supports parallel computations over peer-to-peer overlays mapped onto mobile networks. The system performs automatic load-balancing by using the overlay to discover work. We present preliminary performance results for a parallel benchmark, using up to 16 devices, and discuss their implications towards future work.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
