{"title":"移动运营商业务计算与通信计算之间的资源分配","authors":"Kezhi Wang, Kun Yang","doi":"10.1109/ICC.2017.7997240","DOIUrl":null,"url":null,"abstract":"With the fast development of the cloud computing and virtualization techniques, computation resources can be allocated more dynamically and scalably on demand. This paper aims to study two types of computing, i.e., service computing and communication computing. We have proposed to have both computing resource in mobile operator's mobile cloud and investigated how to jointly allocate them with the objective of reducing mobile operator's power consumption and meanwhile, improving mobile users' experience. In this paper, we have introduced the computing power minimization problem, which is NP-hard. By applying several transformations and estimations, the problem can be solved by the branch and bound solution. Also, admission control is considered in this paper. Simulation results have shown that the proposed joint resource allocation solution has a very good performance and outperforms the traditional fixed data rate guarantee algorithm.","PeriodicalId":6517,"journal":{"name":"2017 IEEE International Conference on Communications (ICC)","volume":"12 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Resource allocation between service computing and communication computing for mobile operator\",\"authors\":\"Kezhi Wang, Kun Yang\",\"doi\":\"10.1109/ICC.2017.7997240\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the fast development of the cloud computing and virtualization techniques, computation resources can be allocated more dynamically and scalably on demand. This paper aims to study two types of computing, i.e., service computing and communication computing. We have proposed to have both computing resource in mobile operator's mobile cloud and investigated how to jointly allocate them with the objective of reducing mobile operator's power consumption and meanwhile, improving mobile users' experience. In this paper, we have introduced the computing power minimization problem, which is NP-hard. By applying several transformations and estimations, the problem can be solved by the branch and bound solution. Also, admission control is considered in this paper. Simulation results have shown that the proposed joint resource allocation solution has a very good performance and outperforms the traditional fixed data rate guarantee algorithm.\",\"PeriodicalId\":6517,\"journal\":{\"name\":\"2017 IEEE International Conference on Communications (ICC)\",\"volume\":\"12 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Communications (ICC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICC.2017.7997240\",\"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 IEEE International Conference on Communications (ICC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICC.2017.7997240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Resource allocation between service computing and communication computing for mobile operator
With the fast development of the cloud computing and virtualization techniques, computation resources can be allocated more dynamically and scalably on demand. This paper aims to study two types of computing, i.e., service computing and communication computing. We have proposed to have both computing resource in mobile operator's mobile cloud and investigated how to jointly allocate them with the objective of reducing mobile operator's power consumption and meanwhile, improving mobile users' experience. In this paper, we have introduced the computing power minimization problem, which is NP-hard. By applying several transformations and estimations, the problem can be solved by the branch and bound solution. Also, admission control is considered in this paper. Simulation results have shown that the proposed joint resource allocation solution has a very good performance and outperforms the traditional fixed data rate guarantee algorithm.