{"title":"混合数据传递环境中的点对点协作缓存","authors":"Chi-Yin Chow, H. Leong, A. Chan","doi":"10.1109/ISPAN.2004.1300461","DOIUrl":null,"url":null,"abstract":"In a conventional mobile environment, mobile clients retrieve data items from database servers via mobile support stations, by downloading the items over scalable broadcast channels (push-based), requesting them over shared point-to-point channels (pull-based), or making use of both types of channels to retrieve them (hybrid). Caching is a key technique for improving data retrieval performance of mobile clients, regardless of the data delivery mechanism. The emergence of robust peer-to-peer technologies now brings to reality what we call \"cooperative caching\" in which mobile clients can access data items from the cache in their neighboring peers, thereby adding a new dimension for data caching. This paper studies the system performance of a cooperative caching scheme, called COCA, in a hybrid data delivery environment, and proposes a cooperative cache replacement scheme, called CORE, for mobile systems. The performance of COCA and CORE schemes is evaluated through a number of simulated experiments. The experiment results show that COCA effectively improves the system performance in push-based and hybrid-data delivery environments, especially in a heavily-loaded environment. The results also indicate that CORE can further improve on the access latency and reduce the number of expensive server requests, which consume scarce pull-based bandwidth.","PeriodicalId":198404,"journal":{"name":"7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Peer-to-peer cooperative caching in a hybrid data delivery environment\",\"authors\":\"Chi-Yin Chow, H. Leong, A. Chan\",\"doi\":\"10.1109/ISPAN.2004.1300461\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a conventional mobile environment, mobile clients retrieve data items from database servers via mobile support stations, by downloading the items over scalable broadcast channels (push-based), requesting them over shared point-to-point channels (pull-based), or making use of both types of channels to retrieve them (hybrid). Caching is a key technique for improving data retrieval performance of mobile clients, regardless of the data delivery mechanism. The emergence of robust peer-to-peer technologies now brings to reality what we call \\\"cooperative caching\\\" in which mobile clients can access data items from the cache in their neighboring peers, thereby adding a new dimension for data caching. This paper studies the system performance of a cooperative caching scheme, called COCA, in a hybrid data delivery environment, and proposes a cooperative cache replacement scheme, called CORE, for mobile systems. The performance of COCA and CORE schemes is evaluated through a number of simulated experiments. The experiment results show that COCA effectively improves the system performance in push-based and hybrid-data delivery environments, especially in a heavily-loaded environment. The results also indicate that CORE can further improve on the access latency and reduce the number of expensive server requests, which consume scarce pull-based bandwidth.\",\"PeriodicalId\":198404,\"journal\":{\"name\":\"7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPAN.2004.1300461\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"7th International Symposium on Parallel Architectures, Algorithms and Networks, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPAN.2004.1300461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Peer-to-peer cooperative caching in a hybrid data delivery environment
In a conventional mobile environment, mobile clients retrieve data items from database servers via mobile support stations, by downloading the items over scalable broadcast channels (push-based), requesting them over shared point-to-point channels (pull-based), or making use of both types of channels to retrieve them (hybrid). Caching is a key technique for improving data retrieval performance of mobile clients, regardless of the data delivery mechanism. The emergence of robust peer-to-peer technologies now brings to reality what we call "cooperative caching" in which mobile clients can access data items from the cache in their neighboring peers, thereby adding a new dimension for data caching. This paper studies the system performance of a cooperative caching scheme, called COCA, in a hybrid data delivery environment, and proposes a cooperative cache replacement scheme, called CORE, for mobile systems. The performance of COCA and CORE schemes is evaluated through a number of simulated experiments. The experiment results show that COCA effectively improves the system performance in push-based and hybrid-data delivery environments, especially in a heavily-loaded environment. The results also indicate that CORE can further improve on the access latency and reduce the number of expensive server requests, which consume scarce pull-based bandwidth.