{"title":"Penelope:点对点电源管理","authors":"Tapan Srivastava, Huazhe Zhang, H. Hoffmann","doi":"10.1145/3545008.3545047","DOIUrl":null,"url":null,"abstract":"Large scale distributed computing setups rely on power management systems to enforce tight power budgets. Existing systems use a central authority that redistributes excess power to power-hungry nodes. This central authority, however, is both a single point of failure and a critical bottleneck—especially at large scale. To address these limitations we propose Penelope, a distributed power management system which shifts power through peer-to-peer transactions, ensuring that it remains robust in faulty environments and at large scale. We implement Penelope and compare its achieved performance to SLURM, a centralized power manager, under a variety of power budgets. We find that under normal conditions SLURM and Penelope achieve almost equivalent performance; however in faulty environments, Penelope achieves 8–15% mean application performance gains over SLURM. At large scale and with increasing frequency of messages, Penelope maintains its performance in contrast to centralized approaches which degrade and become unusable.","PeriodicalId":360504,"journal":{"name":"Proceedings of the 51st International Conference on Parallel Processing","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Penelope: Peer-to-peer Power Management\",\"authors\":\"Tapan Srivastava, Huazhe Zhang, H. Hoffmann\",\"doi\":\"10.1145/3545008.3545047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large scale distributed computing setups rely on power management systems to enforce tight power budgets. Existing systems use a central authority that redistributes excess power to power-hungry nodes. This central authority, however, is both a single point of failure and a critical bottleneck—especially at large scale. To address these limitations we propose Penelope, a distributed power management system which shifts power through peer-to-peer transactions, ensuring that it remains robust in faulty environments and at large scale. We implement Penelope and compare its achieved performance to SLURM, a centralized power manager, under a variety of power budgets. We find that under normal conditions SLURM and Penelope achieve almost equivalent performance; however in faulty environments, Penelope achieves 8–15% mean application performance gains over SLURM. At large scale and with increasing frequency of messages, Penelope maintains its performance in contrast to centralized approaches which degrade and become unusable.\",\"PeriodicalId\":360504,\"journal\":{\"name\":\"Proceedings of the 51st International Conference on Parallel Processing\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 51st International Conference on Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3545008.3545047\",\"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 51st International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3545008.3545047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Large scale distributed computing setups rely on power management systems to enforce tight power budgets. Existing systems use a central authority that redistributes excess power to power-hungry nodes. This central authority, however, is both a single point of failure and a critical bottleneck—especially at large scale. To address these limitations we propose Penelope, a distributed power management system which shifts power through peer-to-peer transactions, ensuring that it remains robust in faulty environments and at large scale. We implement Penelope and compare its achieved performance to SLURM, a centralized power manager, under a variety of power budgets. We find that under normal conditions SLURM and Penelope achieve almost equivalent performance; however in faulty environments, Penelope achieves 8–15% mean application performance gains over SLURM. At large scale and with increasing frequency of messages, Penelope maintains its performance in contrast to centralized approaches which degrade and become unusable.