{"title":"基于博弈论的移动云计算分散数据卸载","authors":"Dongqing Liu, L. Khoukhi, A. Hafid","doi":"10.1109/FMEC.2017.7946402","DOIUrl":null,"url":null,"abstract":"In this paper, we propose two data offloading mechanisms among multiple mobile users based on game theory. We formulate the decentralized data offloading decision making problem as two decentralized data offloading game. We then design two decentralized data offloading mechanisms that can achieve Nash equilibriums of the game: multi-item auction (MIA) based data offloading and congestion game (COG) based data offloading. MIA can maximize the revenue of mobile operator (MO), while COG can minimize the payment of mobile subscribers (MSs). Moreover, both MIA and COG can improve cellular data offloading performance. Numerical results show that the proposed mechanisms can achieve efficient data offloading performance.","PeriodicalId":426271,"journal":{"name":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"Decentralized data offloading for mobile cloud computing based on game theory\",\"authors\":\"Dongqing Liu, L. Khoukhi, A. Hafid\",\"doi\":\"10.1109/FMEC.2017.7946402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose two data offloading mechanisms among multiple mobile users based on game theory. We formulate the decentralized data offloading decision making problem as two decentralized data offloading game. We then design two decentralized data offloading mechanisms that can achieve Nash equilibriums of the game: multi-item auction (MIA) based data offloading and congestion game (COG) based data offloading. MIA can maximize the revenue of mobile operator (MO), while COG can minimize the payment of mobile subscribers (MSs). Moreover, both MIA and COG can improve cellular data offloading performance. Numerical results show that the proposed mechanisms can achieve efficient data offloading performance.\",\"PeriodicalId\":426271,\"journal\":{\"name\":\"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FMEC.2017.7946402\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FMEC.2017.7946402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Decentralized data offloading for mobile cloud computing based on game theory
In this paper, we propose two data offloading mechanisms among multiple mobile users based on game theory. We formulate the decentralized data offloading decision making problem as two decentralized data offloading game. We then design two decentralized data offloading mechanisms that can achieve Nash equilibriums of the game: multi-item auction (MIA) based data offloading and congestion game (COG) based data offloading. MIA can maximize the revenue of mobile operator (MO), while COG can minimize the payment of mobile subscribers (MSs). Moreover, both MIA and COG can improve cellular data offloading performance. Numerical results show that the proposed mechanisms can achieve efficient data offloading performance.