{"title":"分布式视频演示","authors":"Eenjun Hwang, V. S. Subrahmanian, B. Prabhakaran","doi":"10.1109/ICDE.1998.655786","DOIUrl":null,"url":null,"abstract":"Considers a distributed video server environment where video movies need not be stored entirely in one server. Blocks of a video movie are be distributed and replicated over multiple video servers. Customers are served by one video server. This video server, termed the originating server, might have to interact with other servers for downloading missing blocks of the requested movie. We present three types of presentation plans that an originating server can possibly construct for satisfying a customer's request. A presentation plan can be considered as a detailed (temporally synchronized) sequence of steps carried out by the originating server for presenting the requested movie to the customer. The creation of presentation plans involves obtaining commitments from other video servers and the network service provider, as well as making local resource commitments, within the limitations of available bandwidth, available buffer and customer consumption rates. For evaluating the goodness of a presentation plan, we introduce two measures of optimality for presentation plans: minimizing the waiting time for a customer and minimizing the access bandwidth. We present algorithms for computing optimal presentation plans and compare their performance experimentally. We have also mathematically proved certain results for the presentation plans.","PeriodicalId":264926,"journal":{"name":"Proceedings 14th International Conference on Data Engineering","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Distributed video presentations\",\"authors\":\"Eenjun Hwang, V. S. Subrahmanian, B. Prabhakaran\",\"doi\":\"10.1109/ICDE.1998.655786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considers a distributed video server environment where video movies need not be stored entirely in one server. Blocks of a video movie are be distributed and replicated over multiple video servers. Customers are served by one video server. This video server, termed the originating server, might have to interact with other servers for downloading missing blocks of the requested movie. We present three types of presentation plans that an originating server can possibly construct for satisfying a customer's request. A presentation plan can be considered as a detailed (temporally synchronized) sequence of steps carried out by the originating server for presenting the requested movie to the customer. The creation of presentation plans involves obtaining commitments from other video servers and the network service provider, as well as making local resource commitments, within the limitations of available bandwidth, available buffer and customer consumption rates. For evaluating the goodness of a presentation plan, we introduce two measures of optimality for presentation plans: minimizing the waiting time for a customer and minimizing the access bandwidth. We present algorithms for computing optimal presentation plans and compare their performance experimentally. We have also mathematically proved certain results for the presentation plans.\",\"PeriodicalId\":264926,\"journal\":{\"name\":\"Proceedings 14th International Conference on Data Engineering\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-02-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 14th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1998.655786\",\"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 14th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1998.655786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Considers a distributed video server environment where video movies need not be stored entirely in one server. Blocks of a video movie are be distributed and replicated over multiple video servers. Customers are served by one video server. This video server, termed the originating server, might have to interact with other servers for downloading missing blocks of the requested movie. We present three types of presentation plans that an originating server can possibly construct for satisfying a customer's request. A presentation plan can be considered as a detailed (temporally synchronized) sequence of steps carried out by the originating server for presenting the requested movie to the customer. The creation of presentation plans involves obtaining commitments from other video servers and the network service provider, as well as making local resource commitments, within the limitations of available bandwidth, available buffer and customer consumption rates. For evaluating the goodness of a presentation plan, we introduce two measures of optimality for presentation plans: minimizing the waiting time for a customer and minimizing the access bandwidth. We present algorithms for computing optimal presentation plans and compare their performance experimentally. We have also mathematically proved certain results for the presentation plans.