Fan Guo, Yongkun Li, Min Lv, Yinlong Xu, John C.S. Lui
{"title":"HP-Mapper: A High Performance Storage Driver for Docker Containers","authors":"Fan Guo, Yongkun Li, Min Lv, Yinlong Xu, John C.S. Lui","doi":"10.1145/3357223.3362718","DOIUrl":null,"url":null,"abstract":"Docker containers are widely deployed to provide lightweight virtualization, and they have many desirable features such as ease of deployment and near bare-metal performance. However, both the performance and cache efficiency of containers are still limited by their storage drivers due to the coarse-grained copy-on-write operations, and the large amount of redundancy in both I/O requests and page cache. To improve I/O performance and cache efficiency of containers, we develop HP-Mapper, a high performance storage driver for Docker containers. HP-Mapper provides a two-level mapping strategy to support fine-grained copy-on-write with low overhead, and an efficient interception method to reduce redundant I/Os. Furthermore, it uses a novel cache management mechanism to reduce duplicate cached data. Experiment results with our prototype system show that HP-Mapper significantly reduces copy-on-write latency due to its finer-grained copy-on-write scheme. Moreover, HP-Mapper can also reduce 65.4% cache usage on average due to elimination of duplicated data. As a result, HP-Mapper improves the throughput of real-world workloads by up to 39.4%, and improves the startup speed of containers by 2.0x.","PeriodicalId":91949,"journal":{"name":"Proceedings of the ... ACM Symposium on Cloud Computing [electronic resource] : SOCC ... ... SoCC (Conference)","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... ACM Symposium on Cloud Computing [electronic resource] : SOCC ... ... SoCC (Conference)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3357223.3362718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Docker containers are widely deployed to provide lightweight virtualization, and they have many desirable features such as ease of deployment and near bare-metal performance. However, both the performance and cache efficiency of containers are still limited by their storage drivers due to the coarse-grained copy-on-write operations, and the large amount of redundancy in both I/O requests and page cache. To improve I/O performance and cache efficiency of containers, we develop HP-Mapper, a high performance storage driver for Docker containers. HP-Mapper provides a two-level mapping strategy to support fine-grained copy-on-write with low overhead, and an efficient interception method to reduce redundant I/Os. Furthermore, it uses a novel cache management mechanism to reduce duplicate cached data. Experiment results with our prototype system show that HP-Mapper significantly reduces copy-on-write latency due to its finer-grained copy-on-write scheme. Moreover, HP-Mapper can also reduce 65.4% cache usage on average due to elimination of duplicated data. As a result, HP-Mapper improves the throughput of real-world workloads by up to 39.4%, and improves the startup speed of containers by 2.0x.