Thao N. Pham, Nikos R. Katsipoulakis, Panos K. Chrysanthis, Alexandros Labrinidis
{"title":"Uninterruptible Migration of Continuous Queries without Operator State Migration","authors":"Thao N. Pham, Nikos R. Katsipoulakis, Panos K. Chrysanthis, Alexandros Labrinidis","doi":"10.1145/3156655.3156659","DOIUrl":null,"url":null,"abstract":"The elasticity brought by cloud infrastructure provides a promising solution for a data stream management system to handle its incoming workload, which can be highly variable: the system can scale out when heavily loaded, and scale in otherwise. In such a solution, the efficiency of the mechanism used to migrate a query from one node to another is very important. Generally, a stream application requires real-time outputs for its continuous queries, and downtime is not acceptable. Moreover, the migration should not add considerable processing cost to a node that could have been already overloaded. In this paper, we present our migration protocol, named UniMiCo, which satisfies those requirements. We implemented UniMiCo in a DSMS prototype and experimentally show that the protocol preserves correctness, while introducing no noticeable changes in the response time of the continuous query being migrated.","PeriodicalId":21740,"journal":{"name":"SIGMOD Rec.","volume":"38 1","pages":"17-22"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGMOD Rec.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3156655.3156659","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The elasticity brought by cloud infrastructure provides a promising solution for a data stream management system to handle its incoming workload, which can be highly variable: the system can scale out when heavily loaded, and scale in otherwise. In such a solution, the efficiency of the mechanism used to migrate a query from one node to another is very important. Generally, a stream application requires real-time outputs for its continuous queries, and downtime is not acceptable. Moreover, the migration should not add considerable processing cost to a node that could have been already overloaded. In this paper, we present our migration protocol, named UniMiCo, which satisfies those requirements. We implemented UniMiCo in a DSMS prototype and experimentally show that the protocol preserves correctness, while introducing no noticeable changes in the response time of the continuous query being migrated.