{"title":"走向分散的云计算","authors":"Josef Spillner, A. Schill","doi":"10.1109/BlackSeaCom.2014.6849032","DOIUrl":null,"url":null,"abstract":"The growing number of locally and globally connected devices and infrastructure services is symptomatic for increasing user requirements on convenient, comfortable, fast and cheap remote computing and access to data. Distributed computing techniques in combination with on-demand Clouds help matching the requirements and the offered resources. This paper evaluates existing distributed computing models according to their specific code, data and resource handling and defines a specific one, called dispersed computing, by consolidating existing research on dispersed data transmission, data storage and code execution. It furthermore contributes a mapping of the model to typical Cloud environments. Complementary, we share our experience with dispersed computing implementations.","PeriodicalId":427901,"journal":{"name":"2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Towards Dispersed Cloud Computing\",\"authors\":\"Josef Spillner, A. Schill\",\"doi\":\"10.1109/BlackSeaCom.2014.6849032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The growing number of locally and globally connected devices and infrastructure services is symptomatic for increasing user requirements on convenient, comfortable, fast and cheap remote computing and access to data. Distributed computing techniques in combination with on-demand Clouds help matching the requirements and the offered resources. This paper evaluates existing distributed computing models according to their specific code, data and resource handling and defines a specific one, called dispersed computing, by consolidating existing research on dispersed data transmission, data storage and code execution. It furthermore contributes a mapping of the model to typical Cloud environments. Complementary, we share our experience with dispersed computing implementations.\",\"PeriodicalId\":427901,\"journal\":{\"name\":\"2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BlackSeaCom.2014.6849032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BlackSeaCom.2014.6849032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The growing number of locally and globally connected devices and infrastructure services is symptomatic for increasing user requirements on convenient, comfortable, fast and cheap remote computing and access to data. Distributed computing techniques in combination with on-demand Clouds help matching the requirements and the offered resources. This paper evaluates existing distributed computing models according to their specific code, data and resource handling and defines a specific one, called dispersed computing, by consolidating existing research on dispersed data transmission, data storage and code execution. It furthermore contributes a mapping of the model to typical Cloud environments. Complementary, we share our experience with dispersed computing implementations.