{"title":"利用软内存提高数据中心效率","authors":"Megan Frisella, Shirley Loayza Sanchez, Malte Schwarzkopf","doi":"10.1145/3593856.3595902","DOIUrl":null,"url":null,"abstract":"Memory is the bottleneck resource in today's datacenters because it is inflexible: low-priority processes are routinely killed to free up resources during memory pressure. This wastes CPU cycles upon re-running killed jobs and incentivizes datacenter operators to run at low memory utilization for safety. This paper introduces soft memory, a software-level abstraction on top of standard primary storage that, under memory pressure, makes memory revocable for re-allocation elsewhere. We prototype soft memory with the Redis key-value store, and find that it has low overhead.","PeriodicalId":330470,"journal":{"name":"Proceedings of the 19th Workshop on Hot Topics in Operating Systems","volume":"78 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Towards Increased Datacenter Efficiency with Soft Memory\",\"authors\":\"Megan Frisella, Shirley Loayza Sanchez, Malte Schwarzkopf\",\"doi\":\"10.1145/3593856.3595902\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Memory is the bottleneck resource in today's datacenters because it is inflexible: low-priority processes are routinely killed to free up resources during memory pressure. This wastes CPU cycles upon re-running killed jobs and incentivizes datacenter operators to run at low memory utilization for safety. This paper introduces soft memory, a software-level abstraction on top of standard primary storage that, under memory pressure, makes memory revocable for re-allocation elsewhere. We prototype soft memory with the Redis key-value store, and find that it has low overhead.\",\"PeriodicalId\":330470,\"journal\":{\"name\":\"Proceedings of the 19th Workshop on Hot Topics in Operating Systems\",\"volume\":\"78 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 19th Workshop on Hot Topics in Operating Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3593856.3595902\",\"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 19th Workshop on Hot Topics in Operating Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3593856.3595902","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards Increased Datacenter Efficiency with Soft Memory
Memory is the bottleneck resource in today's datacenters because it is inflexible: low-priority processes are routinely killed to free up resources during memory pressure. This wastes CPU cycles upon re-running killed jobs and incentivizes datacenter operators to run at low memory utilization for safety. This paper introduces soft memory, a software-level abstraction on top of standard primary storage that, under memory pressure, makes memory revocable for re-allocation elsewhere. We prototype soft memory with the Redis key-value store, and find that it has low overhead.
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