{"title":"基于群播的Web应用数据中心拥塞控制","authors":"Haoyu Wang, Haiying Shen, Guoxin Liu","doi":"10.1145/3087556.3087559","DOIUrl":null,"url":null,"abstract":"In Web applications served by datacenter nowadays, the incast congestion at the front-end server seriously degrades the data request latency performance due to the vast data transmissions from a large number data servers for a data request in a short time. Previous incast congestion control methods usually consider the direct data transmissions from data servers to the front-end server, which makes it difficult to control the sending speed or adjust workloads due to the transient transmission of only a few data objects from each data server. In this paper, we propose a Swarm-based Incast Congestion Control (SICC) system. SICC forms all target data servers of one request in the same rack into a swarm. In each swarm, a data server (called hub) is selected to forward all data objects to the front-end server, so that the number of data servers concurrently connected to the front-end server is reduced, which avoids the incast congestion. Also, the continuous data transmission from hubs to the front-end server facilitates the development of other strategies to further control the incast congestion. To fully utilize the bandwidth, SICC uses a two-level data transmission speed control method to adjust the data transmission speeds of hubs. A query redirection method further reduces the request latency by balancing the transmission remaining times between hubs. Our experiments in simulation and on a real cluster demonstrate that SICC outperforms other incast control methods in improving throughput and reducing the data request latency.","PeriodicalId":162994,"journal":{"name":"Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Swarm-based Incast Congestion Control in Datacenters Serving Web Applications\",\"authors\":\"Haoyu Wang, Haiying Shen, Guoxin Liu\",\"doi\":\"10.1145/3087556.3087559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In Web applications served by datacenter nowadays, the incast congestion at the front-end server seriously degrades the data request latency performance due to the vast data transmissions from a large number data servers for a data request in a short time. Previous incast congestion control methods usually consider the direct data transmissions from data servers to the front-end server, which makes it difficult to control the sending speed or adjust workloads due to the transient transmission of only a few data objects from each data server. In this paper, we propose a Swarm-based Incast Congestion Control (SICC) system. SICC forms all target data servers of one request in the same rack into a swarm. In each swarm, a data server (called hub) is selected to forward all data objects to the front-end server, so that the number of data servers concurrently connected to the front-end server is reduced, which avoids the incast congestion. Also, the continuous data transmission from hubs to the front-end server facilitates the development of other strategies to further control the incast congestion. To fully utilize the bandwidth, SICC uses a two-level data transmission speed control method to adjust the data transmission speeds of hubs. A query redirection method further reduces the request latency by balancing the transmission remaining times between hubs. Our experiments in simulation and on a real cluster demonstrate that SICC outperforms other incast control methods in improving throughput and reducing the data request latency.\",\"PeriodicalId\":162994,\"journal\":{\"name\":\"Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3087556.3087559\",\"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 29th ACM Symposium on Parallelism in Algorithms and Architectures","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3087556.3087559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Swarm-based Incast Congestion Control in Datacenters Serving Web Applications
In Web applications served by datacenter nowadays, the incast congestion at the front-end server seriously degrades the data request latency performance due to the vast data transmissions from a large number data servers for a data request in a short time. Previous incast congestion control methods usually consider the direct data transmissions from data servers to the front-end server, which makes it difficult to control the sending speed or adjust workloads due to the transient transmission of only a few data objects from each data server. In this paper, we propose a Swarm-based Incast Congestion Control (SICC) system. SICC forms all target data servers of one request in the same rack into a swarm. In each swarm, a data server (called hub) is selected to forward all data objects to the front-end server, so that the number of data servers concurrently connected to the front-end server is reduced, which avoids the incast congestion. Also, the continuous data transmission from hubs to the front-end server facilitates the development of other strategies to further control the incast congestion. To fully utilize the bandwidth, SICC uses a two-level data transmission speed control method to adjust the data transmission speeds of hubs. A query redirection method further reduces the request latency by balancing the transmission remaining times between hubs. Our experiments in simulation and on a real cluster demonstrate that SICC outperforms other incast control methods in improving throughput and reducing the data request latency.