{"title":"基于MAS和CP方法的云数据中心资源智能分配策略","authors":"Soltane Merzoug, O. Kazar, M. Derdour","doi":"10.1145/3129186.3129197","DOIUrl":null,"url":null,"abstract":"The massive diffusion of Cloud services in the internet led to increasing demands of services and cloud infrastructure are conduct to an increasing in energy consumption in data centers, which has presents interesting great challenge. In this paper, we propose new strategy of allocation resources, with intelligent management of resources our approach based on constraint programming (CP), according to the autonomous resources allocation using multi-agent systems (SMA). At First, we make a literature review of various solutions that have been proposed in order to optimize Cloud energy consumption; Second, we offer a logical solution to manage physical and virtual resources in data center. Thirdly to validate our approach we use omnet and Ican cloud to implement all scenario of simulation. At the end, we conclude this paper by future work","PeriodicalId":405520,"journal":{"name":"Proceedings of the International Conference on Computing for Engineering and Sciences","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Intelligent Strategy of Allocation resource for Cloud Datacenter Based on MAS & CP approach\",\"authors\":\"Soltane Merzoug, O. Kazar, M. Derdour\",\"doi\":\"10.1145/3129186.3129197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The massive diffusion of Cloud services in the internet led to increasing demands of services and cloud infrastructure are conduct to an increasing in energy consumption in data centers, which has presents interesting great challenge. In this paper, we propose new strategy of allocation resources, with intelligent management of resources our approach based on constraint programming (CP), according to the autonomous resources allocation using multi-agent systems (SMA). At First, we make a literature review of various solutions that have been proposed in order to optimize Cloud energy consumption; Second, we offer a logical solution to manage physical and virtual resources in data center. Thirdly to validate our approach we use omnet and Ican cloud to implement all scenario of simulation. At the end, we conclude this paper by future work\",\"PeriodicalId\":405520,\"journal\":{\"name\":\"Proceedings of the International Conference on Computing for Engineering and Sciences\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on Computing for Engineering and Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3129186.3129197\",\"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 International Conference on Computing for Engineering and Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3129186.3129197","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Strategy of Allocation resource for Cloud Datacenter Based on MAS & CP approach
The massive diffusion of Cloud services in the internet led to increasing demands of services and cloud infrastructure are conduct to an increasing in energy consumption in data centers, which has presents interesting great challenge. In this paper, we propose new strategy of allocation resources, with intelligent management of resources our approach based on constraint programming (CP), according to the autonomous resources allocation using multi-agent systems (SMA). At First, we make a literature review of various solutions that have been proposed in order to optimize Cloud energy consumption; Second, we offer a logical solution to manage physical and virtual resources in data center. Thirdly to validate our approach we use omnet and Ican cloud to implement all scenario of simulation. At the end, we conclude this paper by future work